Micro-Star International Co., Ltd. MS-7B78
Geekbench AI Score
730
Single Precision Score
472
Half Precision Score
645
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ViNsTeR777 |
| Upload Date | November 26 2024 08:06 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Athlon 200GE |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (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 Athlon 200GE |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | AuthenticAMD Family 23 Model 17 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
457
85.0 IPS |
|
|
Image Classification (HP)
|
100% |
229
42.6 IPS |
|
|
Image Classification (Q)
|
96% |
455
84.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
368
5.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
254
4.12 IPS |
|
|
Image Segmentation (Q)
|
97% |
417
6.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
881
1.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
727
0.85 IPS |
|
|
Pose Estimation (Q)
|
87% |
865
1.02 IPS |
|
|
Object Detection (SP)
|
100% |
450
35.7 IPS |
|
|
Object Detection (HP)
|
100% |
260
20.6 IPS |
|
|
Object Detection (Q)
|
86% |
385
30.9 IPS |
|
|
Face Detection (SP)
|
100% |
1135
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
627
7.45 IPS |
|
|
Face Detection (Q)
|
96% |
1094
13.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1211
9.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
714
5.50 IPS |
|
|
Depth Estimation (Q)
|
77% |
920
7.37 IPS |
|
|
Style Transfer (SP)
|
100% |
2401
3.09 IPS |
|
|
Style Transfer (HP)
|
100% |
2024
2.60 IPS |
|
|
Style Transfer (Q)
|
87% |
2256
2.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
482
17.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
446
16.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
492
18.2 IPS |
|
|
Text Classification (SP)
|
100% |
484
646.5 IPS |
|
|
Text Classification (HP)
|
100% |
326
434.7 IPS |
|
|
Text Classification (Q)
|
97% |
283
379.5 IPS |
|
|
Machine Translation (SP)
|
100% |
847
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
382
6.58 IPS |
|
|
Machine Translation (Q)
|
60% |
628
14.0 IPS |
