ASUS System Product Name
Geekbench AI Score
3709
Single Precision Score
943
Half Precision Score
6850
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | MadeByPunk |
| Upload Date | February 22 2025 03:46 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650-PLUS WIFI |
| Power Plan | Bitsum Highest Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2278
423.7 IPS |
|
|
Image Classification (HP)
|
100% |
179
33.4 IPS |
|
|
Image Classification (Q)
|
99% |
6159
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2063
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
281
4.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
4237
68.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5615
6.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
4707
5.49 IPS |
|
|
Pose Estimation (Q)
|
95% |
25082
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
2276
180.5 IPS |
|
|
Object Detection (HP)
|
100% |
243
19.3 IPS |
|
|
Object Detection (Q)
|
88% |
2641
211.7 IPS |
|
|
Face Detection (SP)
|
100% |
4793
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
391
4.65 IPS |
|
|
Face Detection (Q)
|
97% |
6956
82.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6516
50.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1202
9.26 IPS |
|
|
Depth Estimation (Q)
|
76% |
14050
113.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14361
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12161
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
32141
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2717
100.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2296
84.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4813
178.2 IPS |
|
|
Text Classification (SP)
|
100% |
2335
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
942
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
2185
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2889
49.8 IPS |
|
|
Machine Translation (HP)
|
100% |
788
13.6 IPS |
|
|
Machine Translation (Q)
|
60% |
3986
88.9 IPS |
