Micro-Star International Co., Ltd. MS-7B85
Geekbench AI Score
1295
Single Precision Score
706
Half Precision Score
1459
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 24 2025 03:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 2600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B85 |
| Motherboard | Micro-Star International Co., Ltd. B450 GAMING PRO CARBON AC (MS-7B85) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 2600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.85 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
930
172.9 IPS |
|
|
Image Classification (HP)
|
100% |
302
56.2 IPS |
|
|
Image Classification (Q)
|
96% |
1010
188.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
598
9.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
338
5.49 IPS |
|
|
Image Segmentation (Q)
|
97% |
1381
22.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1819
2.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
1643
1.92 IPS |
|
|
Pose Estimation (Q)
|
86% |
2016
2.38 IPS |
|
|
Object Detection (SP)
|
100% |
890
70.6 IPS |
|
|
Object Detection (HP)
|
100% |
365
29.0 IPS |
|
|
Object Detection (Q)
|
58% |
775
84.6 IPS |
|
|
Face Detection (SP)
|
100% |
2314
27.5 IPS |
|
|
Face Detection (HP)
|
100% |
830
9.86 IPS |
|
|
Face Detection (Q)
|
96% |
2699
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2483
19.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1037
7.99 IPS |
|
|
Depth Estimation (Q)
|
78% |
2534
20.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4837
6.22 IPS |
|
|
Style Transfer (HP)
|
100% |
4268
5.49 IPS |
|
|
Style Transfer (Q)
|
87% |
4875
6.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
824
30.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
778
28.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
994
36.8 IPS |
|
|
Text Classification (SP)
|
100% |
617
823.4 IPS |
|
|
Text Classification (HP)
|
100% |
351
468.6 IPS |
|
|
Text Classification (Q)
|
97% |
528
707.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1044
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
506
8.72 IPS |
|
|
Machine Translation (Q)
|
68% |
1151
22.2 IPS |
