Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
3036
Single Precision Score
1444
Half Precision Score
6153
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | January 06 2025 11:51 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 8400F 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E28 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650M-B (MS-7E28) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2402
446.7 IPS |
|
|
Image Classification (HP)
|
100% |
563
104.7 IPS |
|
|
Image Classification (Q)
|
99% |
6925
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1088
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
683
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3216
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4601
5.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
3967
4.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
18701
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
2475
196.3 IPS |
|
|
Object Detection (HP)
|
100% |
687
54.5 IPS |
|
|
Object Detection (Q)
|
86% |
6495
522.0 IPS |
|
|
Face Detection (SP)
|
100% |
5246
62.3 IPS |
|
|
Face Detection (HP)
|
100% |
1649
19.6 IPS |
|
|
Face Detection (Q)
|
97% |
9364
111.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5892
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2155
16.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
7161
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11511
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9656
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
24056
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1965
72.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2041
75.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3293
121.9 IPS |
|
|
Text Classification (SP)
|
100% |
1568
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
736
982.3 IPS |
|
|
Text Classification (Q)
|
97% |
1763
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2041
35.2 IPS |
|
|
Machine Translation (HP)
|
100% |
732
12.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3072
61.7 IPS |
