R9 9950X + MSI RTX 4090 Gaming X Trio Stock ASUS System Product Name
Geekbench AI Score
38414
Single Precision Score
53875
Half Precision Score
29154
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Makurin |
| Upload Date | January 26 2025 09:23 PM |
| Views | 1 |
| Notes | MSI RTX 4090 Gaming X Trio 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% |
14011
2.61 KIPS |
|
|
Image Classification (HP)
|
99% |
18854
3.52 KIPS |
|
|
Image Classification (Q)
|
100% |
11938
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23778
385.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
30192
489.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
22585
367.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
307295
358.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
541226
631.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
267870
313.9 IPS |
|
|
Object Detection (SP)
|
100% |
19583
1.55 KIPS |
|
|
Object Detection (HP)
|
100% |
26255
2.08 KIPS |
|
|
Object Detection (Q)
|
86% |
16559
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
54784
651.0 IPS |
|
|
Face Detection (HP)
|
100% |
70138
833.4 IPS |
|
|
Face Detection (Q)
|
97% |
46570
555.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
95451
735.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
162192
1.25 KIPS |
|
|
Depth Estimation (Q)
|
77% |
70166
561.2 IPS |
|
|
Style Transfer (SP)
|
100% |
569430
732.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1138677
1.46 KIPS |
|
|
Style Transfer (Q)
|
98% |
487134
628.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
61179
2.26 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82830
3.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44357
1.64 KIPS |
|
|
Text Classification (SP)
|
100% |
3591
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
4505
6.01 KIPS |
|
|
Text Classification (Q)
|
97% |
2129
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
5335
91.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5269
90.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2468
46.3 IPS |
