Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
1333
Single Precision Score
693
Half Precision Score
1279
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | stuartcom |
| Upload Date | May 04 2025 01:10 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 2600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro Education (64-bit) |
| Model | Micro-Star International Co., Ltd MS-7B86 |
| Motherboard | Micro-Star International Co., Ltd B450-A PRO MAX (MS-7B86) |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 2600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1008
187.4 IPS |
|
|
Image Classification (HP)
|
100% |
271
50.4 IPS |
|
|
Image Classification (Q)
|
96% |
1107
206.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
478
7.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
310
5.02 IPS |
|
|
Image Segmentation (Q)
|
97% |
747
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1392
1.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
1763
2.06 IPS |
|
|
Pose Estimation (Q)
|
86% |
2191
2.59 IPS |
|
|
Object Detection (SP)
|
100% |
1103
87.5 IPS |
|
|
Object Detection (HP)
|
100% |
344
27.3 IPS |
|
|
Object Detection (Q)
|
58% |
725
79.2 IPS |
|
|
Face Detection (SP)
|
100% |
2400
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
805
9.57 IPS |
|
|
Face Detection (Q)
|
96% |
2530
30.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2882
22.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1060
8.17 IPS |
|
|
Depth Estimation (Q)
|
78% |
2610
20.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5552
7.14 IPS |
|
|
Style Transfer (HP)
|
100% |
4762
6.12 IPS |
|
|
Style Transfer (Q)
|
87% |
5007
6.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
887
32.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
862
31.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
901
33.4 IPS |
|
|
Text Classification (SP)
|
100% |
663
885.3 IPS |
|
|
Text Classification (HP)
|
100% |
342
456.5 IPS |
|
|
Text Classification (Q)
|
97% |
275
368.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1064
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
419
7.22 IPS |
|
|
Machine Translation (Q)
|
68% |
1092
21.1 IPS |
