ASUS System Product Name
Geekbench AI Score
2494
Single Precision Score
732
Half Precision Score
3760
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | CoreRemnant |
| Upload Date | August 15 2024 06:31 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650-PLUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1491
277.2 IPS |
|
|
Image Classification (HP)
|
100% |
151
28.0 IPS |
|
|
Image Classification (Q)
|
99% |
4102
765.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1466
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
244
3.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
2017
32.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3922
4.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
3412
3.98 IPS |
|
|
Pose Estimation (Q)
|
95% |
17234
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
1687
133.8 IPS |
|
|
Object Detection (HP)
|
100% |
207
16.5 IPS |
|
|
Object Detection (Q)
|
88% |
1761
141.2 IPS |
|
|
Face Detection (SP)
|
100% |
2881
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
319
3.80 IPS |
|
|
Face Detection (Q)
|
97% |
4383
52.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4572
35.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
948
7.31 IPS |
|
|
Depth Estimation (Q)
|
76% |
8366
67.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10063
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8547
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
20994
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1772
65.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1606
59.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3036
112.4 IPS |
|
|
Text Classification (SP)
|
100% |
1455
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
670
893.8 IPS |
|
|
Text Classification (Q)
|
97% |
424
567.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1888
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
612
10.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2271
50.7 IPS |
