ASUS System Product Name
Geekbench AI Score
2177
Single Precision Score
1230
Half Precision Score
3600
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | yee245 |
| Upload Date | December 19 2024 04:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD EPYC 4124P 4-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650M-PLUS WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD EPYC 4124P 4-Core Processor |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1459
271.3 IPS |
|
|
Image Classification (HP)
|
100% |
542
100.7 IPS |
|
|
Image Classification (Q)
|
99% |
3542
660.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1378
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
747
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1843
30.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2660
3.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
2637
3.08 IPS |
|
|
Pose Estimation (Q)
|
95% |
13633
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1499
118.9 IPS |
|
|
Object Detection (HP)
|
100% |
533
42.3 IPS |
|
|
Object Detection (Q)
|
88% |
1754
140.6 IPS |
|
|
Face Detection (SP)
|
100% |
2864
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
1592
18.9 IPS |
|
|
Face Detection (Q)
|
97% |
4896
58.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3514
27.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1826
14.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
7139
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7164
9.21 IPS |
|
|
Style Transfer (HP)
|
100% |
6762
8.69 IPS |
|
|
Style Transfer (Q)
|
98% |
18963
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1499
55.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1538
56.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3298
122.1 IPS |
|
|
Text Classification (SP)
|
100% |
1355
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
696
928.5 IPS |
|
|
Text Classification (Q)
|
97% |
491
657.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2046
35.2 IPS |
|
|
Machine Translation (HP)
|
100% |
666
11.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2184
48.7 IPS |
