Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
1705
Single Precision Score
2019
Half Precision Score
1358
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 24 2025 01:51 PM |
| 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-7E28 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650M-B (MS-7E28) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
620
115.4 IPS |
|
|
Image Classification (HP)
|
100% |
625
116.2 IPS |
|
|
Image Classification (Q)
|
100% |
587
109.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
617
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
633
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
549
8.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
6086
7.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
10477
12.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
5240
6.14 IPS |
|
|
Object Detection (SP)
|
100% |
690
54.8 IPS |
|
|
Object Detection (HP)
|
100% |
682
54.1 IPS |
|
|
Object Detection (Q)
|
87% |
631
50.7 IPS |
|
|
Face Detection (SP)
|
100% |
1850
22.0 IPS |
|
|
Face Detection (HP)
|
100% |
2110
25.1 IPS |
|
|
Face Detection (Q)
|
97% |
1568
18.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3436
26.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4280
33.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
2875
23.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10041
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
14927
19.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8894
11.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2645
97.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3566
131.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1849
68.5 IPS |
|
|
Text Classification (SP)
|
100% |
732
976.8 IPS |
|
|
Text Classification (HP)
|
100% |
788
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
501
671.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1048
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1055
18.2 IPS |
|
|
Machine Translation (Q)
|
70% |
541
10.1 IPS |
