ASUS System Product Name
Geekbench AI Score
1836
Single Precision Score
2040
Half Precision Score
1481
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 12:38 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X670E-PLUS |
| Power Plan | Hchstleistung |
| 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% |
624
116.0 IPS |
|
|
Image Classification (HP)
|
100% |
625
116.1 IPS |
|
|
Image Classification (Q)
|
100% |
586
109.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1148
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
650
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1018
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6300
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
11056
12.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
5723
6.70 IPS |
|
|
Object Detection (SP)
|
100% |
681
54.0 IPS |
|
|
Object Detection (HP)
|
100% |
661
52.4 IPS |
|
|
Object Detection (Q)
|
89% |
624
50.0 IPS |
|
|
Face Detection (SP)
|
100% |
1594
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
1868
22.2 IPS |
|
|
Face Detection (Q)
|
97% |
1386
16.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3525
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4357
33.6 IPS |
|
|
Depth Estimation (Q)
|
73% |
3032
24.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11408
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
16357
21.0 IPS |
|
|
Style Transfer (Q)
|
98% |
10114
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2853
105.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3827
141.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2167
80.2 IPS |
|
|
Text Classification (SP)
|
100% |
741
988.7 IPS |
|
|
Text Classification (HP)
|
100% |
785
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
533
713.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1050
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1054
18.2 IPS |
|
|
Machine Translation (Q)
|
60% |
488
10.9 IPS |
