Micro-Star International Co., Ltd. MS-7E27
Geekbench AI Score
2787
Single Precision Score
1413
Half Precision Score
5650
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 08:35 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 8600G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E27 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650M-P (MS-7E27) |
| Power Plan | Atlas Power Scheme |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.35 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1893
352.1 IPS |
|
|
Image Classification (HP)
|
100% |
565
105.2 IPS |
|
|
Image Classification (Q)
|
99% |
6561
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1386
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
719
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3416
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3897
4.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
3436
4.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
18713
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
2079
164.9 IPS |
|
|
Object Detection (HP)
|
100% |
693
55.0 IPS |
|
|
Object Detection (Q)
|
86% |
5258
422.6 IPS |
|
|
Face Detection (SP)
|
100% |
4643
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
1529
18.2 IPS |
|
|
Face Detection (Q)
|
97% |
8495
101.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5189
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2146
16.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
9446
75.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9327
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8407
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
23477
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1709
63.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1699
62.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5395
199.8 IPS |
|
|
Text Classification (SP)
|
100% |
1602
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
774
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
473
633.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2165
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
907
15.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3131
62.9 IPS |
