R9 9950X + MSI RTX 4090 Gaming X Trio Maxed Out OC ASUS System Product Name
Geekbench AI Score
40095
Single Precision Score
56005
Half Precision Score
30257
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Makurin |
| Upload Date | January 26 2025 08:16 PM |
| Views | 2 |
| Notes | MSI RTX 4090 Gaming X Trio +230Mhz +1500Mhz 1.1v Stock Cooler 9950X CO CCD 0 -24 CCD 1 -17 ADATA Lancer RGB 2x32Gb 64GB RAM DDR5 6400 Mhz 32-37-37-38 | 1:2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| Power Plan | GameTurbo (High Performance) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14701
2.73 KIPS |
|
|
Image Classification (HP)
|
99% |
20101
3.75 KIPS |
|
|
Image Classification (Q)
|
100% |
12537
2.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24365
395.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
30674
497.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
22931
372.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
324687
378.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
562549
656.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
278017
325.7 IPS |
|
|
Object Detection (SP)
|
100% |
19978
1.58 KIPS |
|
|
Object Detection (HP)
|
100% |
27199
2.16 KIPS |
|
|
Object Detection (Q)
|
86% |
16789
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
56343
669.5 IPS |
|
|
Face Detection (HP)
|
100% |
71932
854.7 IPS |
|
|
Face Detection (Q)
|
97% |
48014
572.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
100766
776.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
171862
1.32 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73919
591.2 IPS |
|
|
Style Transfer (SP)
|
100% |
585124
752.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1141049
1.47 KIPS |
|
|
Style Transfer (Q)
|
98% |
485886
626.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
63609
2.35 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
86815
3.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46025
1.70 KIPS |
|
|
Text Classification (SP)
|
100% |
3927
5.24 KIPS |
|
|
Text Classification (HP)
|
99% |
4807
6.42 KIPS |
|
|
Text Classification (Q)
|
97% |
2272
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5570
95.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5467
94.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2658
49.8 IPS |
