ASUS System Product Name
Geekbench AI Score
28477
Single Precision Score
43181
Half Precision Score
21719
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | November 01 2024 01:45 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
| 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 | Rovnovha |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11310
2.10 KIPS |
|
|
Image Classification (HP)
|
99% |
16491
3.08 KIPS |
|
|
Image Classification (Q)
|
100% |
9743
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19725
319.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23720
384.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
18192
295.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
176117
205.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
443742
517.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
157506
184.4 IPS |
|
|
Object Detection (SP)
|
100% |
13749
1.09 KIPS |
|
|
Object Detection (HP)
|
100% |
21789
1.73 KIPS |
|
|
Object Detection (Q)
|
89% |
11846
948.2 IPS |
|
|
Face Detection (SP)
|
100% |
36189
430.0 IPS |
|
|
Face Detection (HP)
|
100% |
50488
599.9 IPS |
|
|
Face Detection (Q)
|
97% |
30138
359.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
65457
504.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
116318
896.2 IPS |
|
|
Depth Estimation (Q)
|
70% |
49351
413.1 IPS |
|
|
Style Transfer (SP)
|
100% |
308259
396.3 IPS |
|
|
Style Transfer (HP)
|
100% |
726282
933.6 IPS |
|
|
Style Transfer (Q)
|
98% |
273361
352.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48773
1.80 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62367
2.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35515
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
3573
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
4389
5.86 KIPS |
|
|
Text Classification (Q)
|
97% |
2215
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5103
87.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5105
87.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2209
49.3 IPS |
