Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
5565
Single Precision Score
5921
Half Precision Score
13143
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | lingxue |
| Upload Date | September 17 2025 07:31 AM |
| Views | 2 |
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% |
3641
677.1 IPS |
|
|
Image Classification (HP)
|
100% |
3588
667.3 IPS |
|
|
Image Classification (Q)
|
100% |
8030
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4755
77.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4725
76.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8803
142.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6909
8.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
6920
8.07 IPS |
|
|
Pose Estimation (Q)
|
96% |
25351
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
3494
277.2 IPS |
|
|
Object Detection (HP)
|
100% |
3403
269.9 IPS |
|
|
Object Detection (Q)
|
88% |
8665
694.6 IPS |
|
|
Face Detection (SP)
|
100% |
10048
119.4 IPS |
|
|
Face Detection (HP)
|
100% |
10077
119.7 IPS |
|
|
Face Detection (Q)
|
100% |
20443
242.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9014
69.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8932
68.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
21989
171.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20765
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
20958
26.9 IPS |
|
|
Style Transfer (Q)
|
98% |
68393
88.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2288
84.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4396
162.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13711
507.8 IPS |
|
|
Text Classification (SP)
|
100% |
3236
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
3217
4.29 KIPS |
|
|
Text Classification (Q)
|
92% |
4887
6.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4902
84.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4974
85.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4810
82.9 IPS |
