ASUS System Product Name
Geekbench AI Score
37157
Single Precision Score
41691
Half Precision Score
28966
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ronbesy65 |
| Upload Date | October 02 2024 08:58 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15743
2.93 KIPS |
|
|
Image Classification (HP)
|
100% |
16849
3.13 KIPS |
|
|
Image Classification (Q)
|
100% |
13658
2.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22787
369.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21136
342.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
21060
342.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
295120
344.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
414562
483.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
262566
307.7 IPS |
|
|
Object Detection (SP)
|
100% |
18325
1.45 KIPS |
|
|
Object Detection (HP)
|
99% |
19653
1.56 KIPS |
|
|
Object Detection (Q)
|
89% |
15882
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
44489
528.6 IPS |
|
|
Face Detection (HP)
|
100% |
49646
589.9 IPS |
|
|
Face Detection (Q)
|
97% |
37740
450.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
79767
614.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
97773
753.3 IPS |
|
|
Depth Estimation (Q)
|
73% |
61496
503.9 IPS |
|
|
Style Transfer (SP)
|
100% |
478639
615.3 IPS |
|
|
Style Transfer (HP)
|
100% |
670129
861.5 IPS |
|
|
Style Transfer (Q)
|
98% |
419272
540.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56847
2.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65568
2.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44675
1.65 KIPS |
|
|
Text Classification (SP)
|
100% |
5190
6.93 KIPS |
|
|
Text Classification (HP)
|
100% |
4933
6.58 KIPS |
|
|
Text Classification (Q)
|
97% |
3230
4.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
5160
88.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5198
89.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2469
55.1 IPS |
