Micro-Star International Co., Ltd. MS-7E77
Geekbench AI Score
5919
Single Precision Score
2543
Half Precision Score
11794
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 12:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 9600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E77 |
| Motherboard | Micro-Star International Co., Ltd. PRO B840M-P WIFI6E (MS-7E77) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5640
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
931
173.1 IPS |
|
|
Image Classification (Q)
|
99% |
11931
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1963
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1441
23.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
13301
216.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9144
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
7428
8.67 IPS |
|
|
Pose Estimation (Q)
|
94% |
35611
41.8 IPS |
|
|
Object Detection (SP)
|
100% |
5082
403.1 IPS |
|
|
Object Detection (HP)
|
100% |
1185
94.0 IPS |
|
|
Object Detection (Q)
|
86% |
12437
999.6 IPS |
|
|
Face Detection (SP)
|
100% |
7991
94.9 IPS |
|
|
Face Detection (HP)
|
100% |
2449
29.1 IPS |
|
|
Face Detection (Q)
|
97% |
12742
151.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11416
88.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3472
26.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
23638
188.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21277
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
17660
22.7 IPS |
|
|
Style Transfer (Q)
|
98% |
29172
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4057
149.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3426
126.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5756
213.1 IPS |
|
|
Text Classification (SP)
|
100% |
3169
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
1401
1.87 KIPS |
|
|
Text Classification (Q)
|
97% |
2380
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
4117
70.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1333
23.0 IPS |
|
|
Machine Translation (Q)
|
65% |
6158
123.7 IPS |
