Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
4496
Single Precision Score
1950
Half Precision Score
7395
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 04 2025 01:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8700G |
| 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 7 8700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3904
726.1 IPS |
|
|
Image Classification (HP)
|
100% |
704
130.8 IPS |
|
|
Image Classification (Q)
|
99% |
8853
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1436
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
936
15.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3839
62.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8178
9.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
6745
7.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
27709
32.5 IPS |
|
|
Object Detection (SP)
|
100% |
3655
289.9 IPS |
|
|
Object Detection (HP)
|
100% |
935
74.2 IPS |
|
|
Object Detection (Q)
|
86% |
8469
680.7 IPS |
|
|
Face Detection (SP)
|
100% |
6709
79.7 IPS |
|
|
Face Detection (HP)
|
100% |
2013
23.9 IPS |
|
|
Face Detection (Q)
|
97% |
10721
127.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10649
82.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3020
23.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
7647
61.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19257
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
16336
21.0 IPS |
|
|
Style Transfer (Q)
|
98% |
29471
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3041
112.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2785
102.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3898
144.3 IPS |
|
|
Text Classification (SP)
|
100% |
1961
2.62 KIPS |
|
|
Text Classification (HP)
|
100% |
840
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1978
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2460
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
824
14.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3295
66.2 IPS |
