Micro-Star International Co., Ltd. MS-7B87
Geekbench AI Score
2832
Single Precision Score
1243
Half Precision Score
3894
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 01:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B87 |
| Motherboard | Micro-Star International Co., Ltd. B450M GAMING PLUS (MS-7B87) |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2031
377.6 IPS |
|
|
Image Classification (HP)
|
100% |
493
91.8 IPS |
|
|
Image Classification (Q)
|
96% |
3427
640.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1512
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
658
10.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
2050
33.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4098
4.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3328
3.88 IPS |
|
|
Pose Estimation (Q)
|
86% |
8082
9.55 IPS |
|
|
Object Detection (SP)
|
100% |
2113
167.6 IPS |
|
|
Object Detection (HP)
|
100% |
626
49.6 IPS |
|
|
Object Detection (Q)
|
58% |
2556
279.3 IPS |
|
|
Face Detection (SP)
|
100% |
4951
58.8 IPS |
|
|
Face Detection (HP)
|
100% |
1383
16.4 IPS |
|
|
Face Detection (Q)
|
96% |
6406
76.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5483
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1917
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
8115
64.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10600
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8741
11.2 IPS |
|
|
Style Transfer (Q)
|
87% |
13856
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1819
67.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1389
51.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2291
84.9 IPS |
|
|
Text Classification (SP)
|
100% |
1248
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
632
844.0 IPS |
|
|
Text Classification (Q)
|
97% |
1279
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1916
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
642
11.1 IPS |
|
|
Machine Translation (Q)
|
68% |
2622
50.7 IPS |
