ASUS System Product Name
Geekbench AI Score
27536
Single Precision Score
31630
Half Precision Score
21491
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | November 02 2024 01:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7800 XT |
| 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% |
12177
2.26 KIPS |
|
|
Image Classification (HP)
|
100% |
12772
2.38 KIPS |
|
|
Image Classification (Q)
|
100% |
10404
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18259
296.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15726
254.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
16396
266.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
183547
214.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
276736
322.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
158966
186.3 IPS |
|
|
Object Detection (SP)
|
100% |
13598
1.08 KIPS |
|
|
Object Detection (HP)
|
99% |
14537
1.15 KIPS |
|
|
Object Detection (Q)
|
89% |
11945
956.5 IPS |
|
|
Face Detection (SP)
|
100% |
35058
416.6 IPS |
|
|
Face Detection (HP)
|
100% |
38833
461.4 IPS |
|
|
Face Detection (Q)
|
97% |
28784
343.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
65335
503.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
74016
570.2 IPS |
|
|
Depth Estimation (Q)
|
73% |
51167
419.3 IPS |
|
|
Style Transfer (SP)
|
100% |
322031
414.0 IPS |
|
|
Style Transfer (HP)
|
100% |
482930
620.8 IPS |
|
|
Style Transfer (Q)
|
98% |
289033
372.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38062
1.41 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53357
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30635
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3589
4.79 KIPS |
|
|
Text Classification (HP)
|
100% |
3637
4.85 KIPS |
|
|
Text Classification (Q)
|
97% |
2356
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
4483
77.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4606
79.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2112
47.1 IPS |
