R9 9950X + MSI RTX 4090 Gaming X Trio OC ASUS System Product Name
Geekbench AI Score
39079
Single Precision Score
54665
Half Precision Score
29531
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Makurin |
| Upload Date | January 26 2025 08:14 PM |
| Views | 2 |
| Notes | MSI RTX 4090 Gaming X Trio +210Mhz +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% |
14516
2.70 KIPS |
|
|
Image Classification (HP)
|
99% |
19913
3.71 KIPS |
|
|
Image Classification (Q)
|
100% |
12421
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24008
389.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
30379
492.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
22591
367.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
308546
360.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
546831
638.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
268467
314.6 IPS |
|
|
Object Detection (SP)
|
100% |
19790
1.57 KIPS |
|
|
Object Detection (HP)
|
100% |
26521
2.10 KIPS |
|
|
Object Detection (Q)
|
86% |
16641
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
55438
658.7 IPS |
|
|
Face Detection (HP)
|
100% |
70901
842.5 IPS |
|
|
Face Detection (Q)
|
97% |
47044
560.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
95513
735.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
163259
1.26 KIPS |
|
|
Depth Estimation (Q)
|
77% |
70183
561.3 IPS |
|
|
Style Transfer (SP)
|
100% |
573346
737.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1141685
1.47 KIPS |
|
|
Style Transfer (Q)
|
98% |
491247
633.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
63235
2.33 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
83774
3.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44884
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
3695
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
4578
6.11 KIPS |
|
|
Text Classification (Q)
|
97% |
2173
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
5504
94.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5359
92.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2544
47.7 IPS |
