Micro-Star International Co., Ltd. MS-7E27
Geekbench AI Score
5503
Single Precision Score
2314
Half Precision Score
9333
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 13 2025 01:56 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E27 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650M-P (MS-7E27) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3992
742.4 IPS |
|
|
Image Classification (HP)
|
100% |
855
158.9 IPS |
|
|
Image Classification (Q)
|
99% |
8381
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2281
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1152
18.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4418
71.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9166
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
7423
8.66 IPS |
|
|
Pose Estimation (Q)
|
94% |
31127
36.5 IPS |
|
|
Object Detection (SP)
|
100% |
4506
357.4 IPS |
|
|
Object Detection (HP)
|
100% |
1105
87.7 IPS |
|
|
Object Detection (Q)
|
86% |
9977
801.8 IPS |
|
|
Face Detection (SP)
|
100% |
9589
113.9 IPS |
|
|
Face Detection (HP)
|
100% |
2361
28.1 IPS |
|
|
Face Detection (Q)
|
97% |
11632
138.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11877
91.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3312
25.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
19749
157.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21995
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
18432
23.7 IPS |
|
|
Style Transfer (Q)
|
98% |
33315
43.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3871
142.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3262
120.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5021
185.9 IPS |
|
|
Text Classification (SP)
|
100% |
2198
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
1094
1.46 KIPS |
|
|
Text Classification (Q)
|
97% |
2341
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3181
54.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1061
18.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4849
97.4 IPS |
