ASUS System Product Name
Geekbench AI Score
33029
Single Precision Score
47955
Half Precision Score
25126
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | October 31 2024 03:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 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% |
12548
2.33 KIPS |
|
|
Image Classification (HP)
|
99% |
17457
3.26 KIPS |
|
|
Image Classification (Q)
|
100% |
10649
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21357
346.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
27377
443.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
19828
322.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
255561
298.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
487046
568.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
228699
267.8 IPS |
|
|
Object Detection (SP)
|
100% |
16672
1.32 KIPS |
|
|
Object Detection (HP)
|
100% |
23245
1.84 KIPS |
|
|
Object Detection (Q)
|
89% |
14303
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
44537
529.2 IPS |
|
|
Face Detection (HP)
|
100% |
56543
671.9 IPS |
|
|
Face Detection (Q)
|
97% |
37317
444.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
76934
592.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
142560
1.10 KIPS |
|
|
Depth Estimation (Q)
|
70% |
56733
475.2 IPS |
|
|
Style Transfer (SP)
|
100% |
395111
507.9 IPS |
|
|
Style Transfer (HP)
|
100% |
889230
1.14 KIPS |
|
|
Style Transfer (Q)
|
98% |
346812
447.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53934
1.99 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72163
2.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40278
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
3524
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4415
5.89 KIPS |
|
|
Text Classification (Q)
|
97% |
2209
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5259
90.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5206
89.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2223
49.6 IPS |
