Micro-Star International Co., Ltd. MS-7A38
Geekbench AI Score
2829
Single Precision Score
3865
Half Precision Score
2093
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 24 2024 01:28 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7A38 |
| Motherboard | Micro-Star International Co., Ltd B350M BAZOOKA (MS-7A38) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1123
208.9 IPS |
|
|
Image Classification (HP)
|
100% |
1496
278.2 IPS |
|
|
Image Classification (Q)
|
100% |
1007
187.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1249
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1541
25.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1059
17.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11182
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
20192
23.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
9020
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
1208
95.8 IPS |
|
|
Object Detection (HP)
|
100% |
1509
119.7 IPS |
|
|
Object Detection (Q)
|
88% |
1067
85.5 IPS |
|
|
Face Detection (SP)
|
100% |
2647
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
3938
46.8 IPS |
|
|
Face Detection (Q)
|
97% |
2204
26.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6172
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9032
69.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
4731
37.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19088
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
31536
40.5 IPS |
|
|
Style Transfer (Q)
|
98% |
14746
19.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3907
144.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6068
224.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2521
93.3 IPS |
|
|
Text Classification (SP)
|
100% |
928
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
992
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
602
807.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1536
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1572
27.1 IPS |
|
|
Machine Translation (Q)
|
70% |
675
12.7 IPS |
