Micro-Star International Co., Ltd. MS-7B78
Geekbench AI Score
1165
Single Precision Score
680
Half Precision Score
1030
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ViNsTeR777 |
| Upload Date | September 26 2024 08:49 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 3 1300X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B78 |
| Motherboard | Micro-Star International Co., Ltd. X470 GAMING PRO CARBON (MS-7B78) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 1300X |
| Topology | 1 Processor, 4 Cores |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
698
129.8 IPS |
|
|
Image Classification (HP)
|
100% |
279
51.8 IPS |
|
|
Image Classification (Q)
|
96% |
742
138.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
460
7.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
324
5.26 IPS |
|
|
Image Segmentation (Q)
|
97% |
720
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1788
2.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
1559
1.82 IPS |
|
|
Pose Estimation (Q)
|
87% |
1709
2.02 IPS |
|
|
Object Detection (SP)
|
100% |
752
59.7 IPS |
|
|
Object Detection (HP)
|
100% |
348
27.6 IPS |
|
|
Object Detection (Q)
|
86% |
604
48.5 IPS |
|
|
Face Detection (SP)
|
100% |
1535
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
809
9.62 IPS |
|
|
Face Detection (Q)
|
96% |
1624
19.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2252
17.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1056
8.13 IPS |
|
|
Depth Estimation (Q)
|
77% |
1751
14.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4676
6.01 IPS |
|
|
Style Transfer (HP)
|
100% |
4026
5.18 IPS |
|
|
Style Transfer (Q)
|
87% |
4151
5.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
884
32.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
807
29.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
839
31.1 IPS |
|
|
Text Classification (SP)
|
100% |
714
952.5 IPS |
|
|
Text Classification (HP)
|
100% |
354
472.9 IPS |
|
|
Text Classification (Q)
|
97% |
293
392.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1050
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
443
7.63 IPS |
|
|
Machine Translation (Q)
|
60% |
847
18.9 IPS |
