Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
5583
Single Precision Score
5896
Half Precision Score
12813
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | lingxue |
| Upload Date | September 18 2025 11:01 AM |
| Views | 4 |
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% |
3854
716.8 IPS |
|
|
Image Classification (HP)
|
100% |
3894
724.1 IPS |
|
|
Image Classification (Q)
|
100% |
8326
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4899
79.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4949
80.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4663
75.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7311
8.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
7340
8.56 IPS |
|
|
Pose Estimation (Q)
|
96% |
26799
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
1988
157.7 IPS |
|
|
Object Detection (HP)
|
100% |
1939
153.8 IPS |
|
|
Object Detection (Q)
|
88% |
9064
726.6 IPS |
|
|
Face Detection (SP)
|
100% |
6122
72.7 IPS |
|
|
Face Detection (HP)
|
100% |
10508
124.9 IPS |
|
|
Face Detection (Q)
|
100% |
21067
250.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9503
73.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9587
73.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
23390
181.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21955
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
22104
28.4 IPS |
|
|
Style Transfer (Q)
|
98% |
70168
90.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4708
173.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4613
170.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14461
535.5 IPS |
|
|
Text Classification (SP)
|
100% |
3475
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
3591
4.79 KIPS |
|
|
Text Classification (Q)
|
92% |
5049
6.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
5139
88.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5026
86.6 IPS |
|
|
Machine Translation (Q)
|
100% |
5010
86.3 IPS |
