Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
3223
Single Precision Score
1609
Half Precision Score
5926
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 06 2025 07:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 8400F 6-Core Processor |
| 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 8400F 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2839
528.0 IPS |
|
|
Image Classification (HP)
|
100% |
626
116.5 IPS |
|
|
Image Classification (Q)
|
99% |
6997
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
984
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
808
13.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3198
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5896
6.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
4804
5.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
19983
23.4 IPS |
|
|
Object Detection (SP)
|
100% |
2630
208.6 IPS |
|
|
Object Detection (HP)
|
100% |
810
64.2 IPS |
|
|
Object Detection (Q)
|
86% |
6948
558.4 IPS |
|
|
Face Detection (SP)
|
100% |
3863
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
1537
18.3 IPS |
|
|
Face Detection (Q)
|
97% |
8050
96.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6529
50.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2454
18.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
6932
55.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13456
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11945
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
17387
22.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2449
90.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2263
83.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3394
125.7 IPS |
|
|
Text Classification (SP)
|
100% |
1701
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
781
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1842
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1978
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
746
12.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2837
57.0 IPS |
