Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
3730
Single Precision Score
1681
Half Precision Score
6202
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 12 2025 12:30 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7700 |
| 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 A620M-E (MS-7E28) |
| Power Plan | Razer Cortex Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2905
540.3 IPS |
|
|
Image Classification (HP)
|
100% |
664
123.5 IPS |
|
|
Image Classification (Q)
|
99% |
8655
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1825
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
879
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2642
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5071
5.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
4483
5.23 IPS |
|
|
Pose Estimation (Q)
|
94% |
23789
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
3016
239.2 IPS |
|
|
Object Detection (HP)
|
100% |
808
64.1 IPS |
|
|
Object Detection (Q)
|
86% |
5835
468.9 IPS |
|
|
Face Detection (SP)
|
100% |
5740
68.2 IPS |
|
|
Face Detection (HP)
|
100% |
1831
21.8 IPS |
|
|
Face Detection (Q)
|
97% |
10476
124.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7130
54.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2515
19.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
16958
135.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13610
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11630
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
26225
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2442
90.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2108
77.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4115
152.4 IPS |
|
|
Text Classification (SP)
|
100% |
1864
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
939
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
466
624.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2536
43.7 IPS |
|
|
Machine Translation (HP)
|
100% |
807
13.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2970
59.7 IPS |
