Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
2884
Single Precision Score
1417
Half Precision Score
5414
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 06 2025 07:56 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 8500G |
| 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 8500G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 120 Stepping 0 |
| Base Frequency | 3.55 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2335
434.2 IPS |
|
|
Image Classification (HP)
|
100% |
554
102.9 IPS |
|
|
Image Classification (Q)
|
99% |
5774
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1079
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
708
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2954
48.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4814
5.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
3958
4.62 IPS |
|
|
Pose Estimation (Q)
|
94% |
16547
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2255
178.9 IPS |
|
|
Object Detection (HP)
|
100% |
717
56.9 IPS |
|
|
Object Detection (Q)
|
86% |
5830
468.6 IPS |
|
|
Face Detection (SP)
|
100% |
3622
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
1484
17.6 IPS |
|
|
Face Detection (Q)
|
97% |
7108
84.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6332
48.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2246
17.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
7166
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11265
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9839
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
16430
21.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2051
75.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1901
70.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3210
118.8 IPS |
|
|
Text Classification (SP)
|
100% |
1523
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
740
987.8 IPS |
|
|
Text Classification (Q)
|
97% |
1750
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1804
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
637
11.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2800
56.3 IPS |
