Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
7374
Single Precision Score
2950
Half Precision Score
11582
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 16 2025 10:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X 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 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6322
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
1113
206.9 IPS |
|
|
Image Classification (Q)
|
99% |
12491
2.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3020
49.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1665
27.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4846
78.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12418
14.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
9581
11.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
40628
47.6 IPS |
|
|
Object Detection (SP)
|
100% |
5804
460.4 IPS |
|
|
Object Detection (HP)
|
100% |
1446
114.7 IPS |
|
|
Object Detection (Q)
|
86% |
12863
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
10421
123.8 IPS |
|
|
Face Detection (HP)
|
100% |
2924
34.7 IPS |
|
|
Face Detection (Q)
|
97% |
14005
167.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15228
117.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4114
31.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
26293
209.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28815
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
21028
27.0 IPS |
|
|
Style Transfer (Q)
|
98% |
36552
47.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5305
195.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4310
159.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6791
251.5 IPS |
|
|
Text Classification (SP)
|
100% |
3265
4.36 KIPS |
|
|
Text Classification (HP)
|
100% |
1406
1.88 KIPS |
|
|
Text Classification (Q)
|
97% |
2697
3.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4367
75.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1269
21.9 IPS |
|
|
Machine Translation (Q)
|
65% |
5572
112.0 IPS |
