Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
6837
Single Precision Score
6892
Half Precision Score
15623
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | GaborP |
| Upload Date | October 03 2024 02:55 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-14700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D25 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z690-A WIFI (MS-7D25) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700KF |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4792
891.2 IPS |
|
|
Image Classification (HP)
|
100% |
4801
892.9 IPS |
|
|
Image Classification (Q)
|
100% |
9451
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5548
89.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5511
89.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9450
153.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9133
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9245
10.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
33527
39.3 IPS |
|
|
Object Detection (SP)
|
100% |
4506
357.5 IPS |
|
|
Object Detection (HP)
|
100% |
4466
354.3 IPS |
|
|
Object Detection (Q)
|
88% |
10361
830.6 IPS |
|
|
Face Detection (SP)
|
100% |
14180
168.5 IPS |
|
|
Face Detection (HP)
|
100% |
14430
171.5 IPS |
|
|
Face Detection (Q)
|
100% |
25431
302.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11481
88.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
11739
90.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
29116
226.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27647
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27771
35.7 IPS |
|
|
Style Transfer (Q)
|
98% |
90849
117.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5622
207.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5490
202.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17142
634.8 IPS |
|
|
Text Classification (SP)
|
100% |
1650
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
1675
2.24 KIPS |
|
|
Text Classification (Q)
|
92% |
4649
6.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4891
84.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5119
88.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5211
89.8 IPS |
