Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
129
Single Precision Score
131
Half Precision Score
90
Quantized Score
Geekbench AI 1.1.0 for Linux x86 (64-bit)
Result Information
| Upload Date | October 11 2024 09:46 PM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-13600K |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-P WIFI (MS-7E06) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 5.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
54
10.0 IPS |
|
|
Image Classification (HP)
|
100% |
54
10.0 IPS |
|
|
Image Classification (Q)
|
97% |
38
7.07 IPS |
|
|
Image Segmentation (SP)
|
100% |
81
1.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
81
1.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
62
1.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
105
0.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
129
0.15 IPS |
|
|
Pose Estimation (Q)
|
96% |
103
0.12 IPS |
|
|
Object Detection (SP)
|
100% |
80
6.34 IPS |
|
|
Object Detection (HP)
|
100% |
80
6.34 IPS |
|
|
Object Detection (Q)
|
87% |
58
4.67 IPS |
|
|
Face Detection (SP)
|
100% |
251
2.98 IPS |
|
|
Face Detection (HP)
|
100% |
251
2.98 IPS |
|
|
Face Detection (Q)
|
97% |
193
2.30 IPS |
|
|
Depth Estimation (SP)
|
100% |
186
1.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
185
1.42 IPS |
|
|
Depth Estimation (Q)
|
64% |
120
1.10 IPS |
|
|
Style Transfer (SP)
|
100% |
389
0.50 IPS |
|
|
Style Transfer (HP)
|
100% |
392
0.50 IPS |
|
|
Style Transfer (Q)
|
98% |
317
0.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
89
3.27 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
89
3.27 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
66
2.45 IPS |
|
|
Text Classification (SP)
|
100% |
107
143.4 IPS |
|
|
Text Classification (HP)
|
100% |
108
144.8 IPS |
|
|
Text Classification (Q)
|
91% |
67
90.0 IPS |
|
|
Machine Translation (SP)
|
100% |
201
3.46 IPS |
|
|
Machine Translation (HP)
|
100% |
201
3.46 IPS |
|
|
Machine Translation (Q)
|
58% |
83
1.99 IPS |
