Micro-Star International Co., Ltd. MS-7B77
Geekbench AI Score
1410
Single Precision Score
748
Half Precision Score
1271
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 17 2024 09:09 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 2700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B77 |
| Motherboard | Micro-Star International Co., Ltd. X470 GAMING M7 AC (MS-7B77) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 2700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
816
151.8 IPS |
|
|
Image Classification (HP)
|
100% |
269
50.0 IPS |
|
|
Image Classification (Q)
|
96% |
1000
186.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
511
8.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
357
5.79 IPS |
|
|
Image Segmentation (Q)
|
97% |
953
15.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2887
3.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
2399
2.80 IPS |
|
|
Pose Estimation (Q)
|
87% |
2775
3.28 IPS |
|
|
Object Detection (SP)
|
100% |
948
75.2 IPS |
|
|
Object Detection (HP)
|
100% |
344
27.3 IPS |
|
|
Object Detection (Q)
|
86% |
687
55.2 IPS |
|
|
Face Detection (SP)
|
100% |
1457
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
756
8.98 IPS |
|
|
Face Detection (Q)
|
96% |
1816
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3277
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1167
8.99 IPS |
|
|
Depth Estimation (Q)
|
77% |
2270
18.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6990
8.99 IPS |
|
|
Style Transfer (HP)
|
100% |
6161
7.92 IPS |
|
|
Style Transfer (Q)
|
87% |
5970
7.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1061
39.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
999
36.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1034
38.3 IPS |
|
|
Text Classification (SP)
|
100% |
763
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
331
442.1 IPS |
|
|
Text Classification (Q)
|
97% |
273
365.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1011
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
390
6.71 IPS |
|
|
Machine Translation (Q)
|
60% |
873
19.5 IPS |
