Micro-Star International Co., Ltd. MS-7E77
Geekbench AI Score
5938
Single Precision Score
2538
Half Precision Score
11698
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 12:24 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% |
5785
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
952
177.0 IPS |
|
|
Image Classification (Q)
|
99% |
11879
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2238
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1469
23.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13088
212.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9302
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
7281
8.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
35888
42.1 IPS |
|
|
Object Detection (SP)
|
100% |
4345
344.6 IPS |
|
|
Object Detection (HP)
|
100% |
1201
95.2 IPS |
|
|
Object Detection (Q)
|
86% |
12174
978.4 IPS |
|
|
Face Detection (SP)
|
100% |
7543
89.6 IPS |
|
|
Face Detection (HP)
|
100% |
2405
28.6 IPS |
|
|
Face Detection (Q)
|
97% |
12983
154.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11017
84.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3335
25.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
22838
182.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22029
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
17060
21.9 IPS |
|
|
Style Transfer (Q)
|
98% |
28904
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4314
159.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3378
124.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5591
207.0 IPS |
|
|
Text Classification (SP)
|
100% |
3061
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1492
1.99 KIPS |
|
|
Text Classification (Q)
|
97% |
2412
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4310
74.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1317
22.7 IPS |
|
|
Machine Translation (Q)
|
65% |
6117
122.9 IPS |
