MICRO-STAR INTERNATIONAL CO., LTD MS-B09011
Geekbench AI Score
1006
Single Precision Score
599
Half Precision Score
1218
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | manuelsoto |
| Upload Date | November 18 2024 12:15 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-6400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | MICRO-STAR INTERNATIONAL CO., LTD MS-B09011 |
| Motherboard | MICRO-STAR INTERNATIONAL CO., LTD MS-B090 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6400 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 2.71 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
525
97.6 IPS |
|
|
Image Classification (HP)
|
100% |
229
42.6 IPS |
|
|
Image Classification (Q)
|
96% |
1043
194.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
258
4.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
287
4.66 IPS |
|
|
Image Segmentation (Q)
|
97% |
614
9.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
1701
1.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
1376
1.61 IPS |
|
|
Pose Estimation (Q)
|
87% |
2744
3.24 IPS |
|
|
Object Detection (SP)
|
100% |
457
36.2 IPS |
|
|
Object Detection (HP)
|
100% |
289
22.9 IPS |
|
|
Object Detection (Q)
|
86% |
666
53.5 IPS |
|
|
Face Detection (SP)
|
100% |
1144
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
651
7.73 IPS |
|
|
Face Detection (Q)
|
96% |
1831
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2172
16.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
813
6.26 IPS |
|
|
Depth Estimation (Q)
|
77% |
1975
15.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4484
5.76 IPS |
|
|
Style Transfer (HP)
|
100% |
4125
5.30 IPS |
|
|
Style Transfer (Q)
|
87% |
6693
8.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1012
37.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
883
32.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1324
49.1 IPS |
|
|
Text Classification (SP)
|
100% |
857
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
387
516.5 IPS |
|
|
Text Classification (Q)
|
97% |
265
354.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1045
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
305
5.26 IPS |
|
|
Machine Translation (Q)
|
60% |
725
16.2 IPS |
