Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
5948
Single Precision Score
5955
Half Precision Score
16000
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 01 2025 08:31 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X 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 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3830
712.3 IPS |
|
|
Image Classification (HP)
|
100% |
3828
711.9 IPS |
|
|
Image Classification (Q)
|
100% |
10005
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3991
64.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4062
65.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10347
167.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6911
8.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
6932
8.09 IPS |
|
|
Pose Estimation (Q)
|
98% |
27205
31.8 IPS |
|
|
Object Detection (SP)
|
100% |
3703
293.7 IPS |
|
|
Object Detection (HP)
|
100% |
3708
294.1 IPS |
|
|
Object Detection (Q)
|
88% |
10525
843.7 IPS |
|
|
Face Detection (SP)
|
100% |
8804
104.6 IPS |
|
|
Face Detection (HP)
|
100% |
8627
102.5 IPS |
|
|
Face Detection (Q)
|
100% |
26486
314.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9034
69.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9228
71.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
27992
217.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19429
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
19327
24.8 IPS |
|
|
Style Transfer (Q)
|
98% |
71090
91.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4428
163.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4436
163.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14515
537.5 IPS |
|
|
Text Classification (SP)
|
100% |
3524
4.70 KIPS |
|
|
Text Classification (HP)
|
100% |
3473
4.64 KIPS |
|
|
Text Classification (Q)
|
92% |
6001
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
5878
101.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5926
102.1 IPS |
|
|
Machine Translation (Q)
|
100% |
8083
139.2 IPS |
