Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
5745
Single Precision Score
5450
Half Precision Score
12911
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Damnboy |
| Upload Date | September 06 2024 11:40 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-P WIFI (MS-7E06) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3807
708.0 IPS |
|
|
Image Classification (HP)
|
100% |
3818
710.0 IPS |
|
|
Image Classification (Q)
|
100% |
8074
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4460
72.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4442
72.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7749
125.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7169
8.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
7167
8.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
25906
30.3 IPS |
|
|
Object Detection (SP)
|
100% |
3680
291.9 IPS |
|
|
Object Detection (HP)
|
100% |
2100
166.6 IPS |
|
|
Object Detection (Q)
|
88% |
8667
694.7 IPS |
|
|
Face Detection (SP)
|
100% |
10993
130.6 IPS |
|
|
Face Detection (HP)
|
100% |
11127
132.2 IPS |
|
|
Face Detection (Q)
|
100% |
21088
250.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9500
73.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9428
72.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
22764
177.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21352
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21377
27.5 IPS |
|
|
Style Transfer (Q)
|
98% |
72928
94.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4500
166.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4565
168.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14106
522.4 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2311
3.08 KIPS |
|
|
Text Classification (Q)
|
92% |
4854
6.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3803
65.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3831
66.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3825
65.9 IPS |
