Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
5704
Single Precision Score
5842
Half Precision Score
12711
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | lingxue |
| Upload Date | September 17 2025 08:46 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-14600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. Z790 GAMING PLUS WIFI (MS-7E06) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3771
701.3 IPS |
|
|
Image Classification (HP)
|
100% |
2663
495.3 IPS |
|
|
Image Classification (Q)
|
100% |
8556
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2546
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4826
78.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8760
142.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7042
8.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
7018
8.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
25752
30.2 IPS |
|
|
Object Detection (SP)
|
100% |
3562
282.6 IPS |
|
|
Object Detection (HP)
|
100% |
3564
282.7 IPS |
|
|
Object Detection (Q)
|
88% |
8738
700.5 IPS |
|
|
Face Detection (SP)
|
100% |
10036
119.2 IPS |
|
|
Face Detection (HP)
|
100% |
9965
118.4 IPS |
|
|
Face Detection (Q)
|
100% |
19909
236.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9243
71.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9226
71.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
22239
173.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21167
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20883
26.8 IPS |
|
|
Style Transfer (Q)
|
98% |
37464
48.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4290
158.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4291
158.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13414
496.8 IPS |
|
|
Text Classification (SP)
|
100% |
3393
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
3490
4.66 KIPS |
|
|
Text Classification (Q)
|
92% |
5538
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
5298
91.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5016
86.4 IPS |
|
|
Machine Translation (Q)
|
100% |
5298
91.3 IPS |
