Micro-Star International Co., Ltd. MS-7E77
Geekbench AI Score
6026
Single Precision Score
2571
Half Precision Score
11818
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 12:27 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% |
5904
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
967
179.8 IPS |
|
|
Image Classification (Q)
|
99% |
11899
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1450
23.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
13170
214.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9163
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
7372
8.60 IPS |
|
|
Pose Estimation (Q)
|
94% |
36512
42.8 IPS |
|
|
Object Detection (SP)
|
100% |
4928
390.9 IPS |
|
|
Object Detection (HP)
|
100% |
1201
95.3 IPS |
|
|
Object Detection (Q)
|
86% |
12276
986.6 IPS |
|
|
Face Detection (SP)
|
100% |
7732
91.9 IPS |
|
|
Face Detection (HP)
|
100% |
2457
29.2 IPS |
|
|
Face Detection (Q)
|
97% |
12540
149.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11828
91.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3480
26.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
23560
188.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20362
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
17031
21.9 IPS |
|
|
Style Transfer (Q)
|
98% |
28919
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4177
154.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3611
133.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5752
213.0 IPS |
|
|
Text Classification (SP)
|
100% |
3159
4.22 KIPS |
|
|
Text Classification (HP)
|
100% |
1435
1.92 KIPS |
|
|
Text Classification (Q)
|
97% |
2435
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
4143
71.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1350
23.3 IPS |
|
|
Machine Translation (Q)
|
65% |
6324
127.1 IPS |
