ASUS System Product Name
Geekbench AI Score
7060
Single Precision Score
2752
Half Precision Score
7947
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 09 2024 05:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4066
756.1 IPS |
|
|
Image Classification (HP)
|
100% |
876
162.9 IPS |
|
|
Image Classification (Q)
|
99% |
8754
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2045
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1616
26.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3324
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14319
16.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
10651
12.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
54640
64.0 IPS |
|
|
Object Detection (SP)
|
100% |
5578
442.5 IPS |
|
|
Object Detection (HP)
|
100% |
1082
85.8 IPS |
|
|
Object Detection (Q)
|
88% |
4496
360.4 IPS |
|
|
Face Detection (SP)
|
100% |
9359
111.2 IPS |
|
|
Face Detection (HP)
|
100% |
2902
34.5 IPS |
|
|
Face Detection (Q)
|
97% |
9219
109.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15798
121.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4177
32.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
20130
161.1 IPS |
|
|
Style Transfer (SP)
|
100% |
33004
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25591
32.9 IPS |
|
|
Style Transfer (Q)
|
98% |
43407
56.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5660
209.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4305
159.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7243
268.2 IPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
1131
1.51 KIPS |
|
|
Text Classification (Q)
|
97% |
605
810.8 IPS |
|
|
Machine Translation (SP)
|
100% |
4901
84.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1013
17.5 IPS |
|
|
Machine Translation (Q)
|
60% |
3984
88.9 IPS |
