Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
3843
Single Precision Score
1771
Half Precision Score
8541
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | StripeyMiata |
| Upload Date | September 04 2025 10:20 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E28 |
| Motherboard | Micro-Star International Co., Ltd. PRO A620M-E (MS-7E28) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2989
555.8 IPS |
|
|
Image Classification (HP)
|
100% |
691
128.6 IPS |
|
|
Image Classification (Q)
|
99% |
7857
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2032
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
928
15.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
8365
136.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5127
5.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
4416
5.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
20953
24.6 IPS |
|
|
Object Detection (SP)
|
100% |
2713
215.2 IPS |
|
|
Object Detection (HP)
|
100% |
884
70.1 IPS |
|
|
Object Detection (Q)
|
86% |
7676
616.9 IPS |
|
|
Face Detection (SP)
|
100% |
6852
81.4 IPS |
|
|
Face Detection (HP)
|
100% |
1913
22.7 IPS |
|
|
Face Detection (Q)
|
97% |
9776
116.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6976
53.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2433
18.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
15228
121.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12266
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10226
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
26317
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2503
92.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2239
82.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5292
196.0 IPS |
|
|
Text Classification (SP)
|
100% |
1960
2.62 KIPS |
|
|
Text Classification (HP)
|
100% |
1023
1.37 KIPS |
|
|
Text Classification (Q)
|
97% |
1926
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2897
49.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1117
19.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4898
98.4 IPS |
