Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
7273
Single Precision Score
2860
Half Precision Score
11866
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | September 11 2025 12:35 PM |
| Views | 3 |
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% |
6363
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
1105
205.4 IPS |
|
|
Image Classification (Q)
|
99% |
12836
2.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3181
51.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1671
27.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5094
82.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11834
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
9114
10.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
38028
44.6 IPS |
|
|
Object Detection (SP)
|
100% |
5163
409.5 IPS |
|
|
Object Detection (HP)
|
100% |
1261
100.0 IPS |
|
|
Object Detection (Q)
|
86% |
12938
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
10834
128.7 IPS |
|
|
Face Detection (HP)
|
100% |
2895
34.4 IPS |
|
|
Face Detection (Q)
|
97% |
14520
173.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15253
117.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3987
30.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
26628
212.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28049
36.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20135
25.9 IPS |
|
|
Style Transfer (Q)
|
98% |
36070
46.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4798
177.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4181
154.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6525
241.6 IPS |
|
|
Text Classification (SP)
|
100% |
3120
4.17 KIPS |
|
|
Text Classification (HP)
|
100% |
1396
1.86 KIPS |
|
|
Text Classification (Q)
|
97% |
2693
3.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4829
83.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1272
21.9 IPS |
|
|
Machine Translation (Q)
|
65% |
7025
141.2 IPS |
