Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
5367
Single Precision Score
5923
Half Precision Score
13065
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Damnboy |
| Upload Date | September 05 2024 01:51 PM |
| Views | 19 |
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% |
3805
707.6 IPS |
|
|
Image Classification (HP)
|
100% |
3832
712.6 IPS |
|
|
Image Classification (Q)
|
100% |
8075
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4451
72.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4461
72.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7768
125.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7146
8.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
7133
8.32 IPS |
|
|
Pose Estimation (Q)
|
96% |
25860
30.3 IPS |
|
|
Object Detection (SP)
|
100% |
3679
291.8 IPS |
|
|
Object Detection (HP)
|
100% |
3669
291.1 IPS |
|
|
Object Detection (Q)
|
88% |
8424
675.3 IPS |
|
|
Face Detection (SP)
|
100% |
6996
83.1 IPS |
|
|
Face Detection (HP)
|
100% |
11102
131.9 IPS |
|
|
Face Detection (Q)
|
100% |
14308
170.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5788
44.6 IPS |
|
|
Depth Estimation (HP)
|
100% |
9559
73.6 IPS |
|
|
Depth Estimation (Q)
|
80% |
23108
183.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21443
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21442
27.6 IPS |
|
|
Style Transfer (Q)
|
98% |
71540
92.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4521
166.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4560
168.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14110
522.6 IPS |
|
|
Text Classification (SP)
|
100% |
2262
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
2280
3.04 KIPS |
|
|
Text Classification (Q)
|
92% |
4831
6.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
5018
86.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5022
86.5 IPS |
|
|
Machine Translation (Q)
|
85% |
6578
115.1 IPS |
