Micro-Star International Co., Ltd. MS-7D43
Geekbench AI Score
4880
Single Precision Score
5074
Half Precision Score
11251
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 25 2024 10:04 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 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D43 |
| Motherboard | Micro-Star International Co., Ltd. PRO B660M-A WIFI DDR4 (MS-7D43) |
| Power Plan | Balanced |
| 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% |
3596
668.7 IPS |
|
|
Image Classification (HP)
|
100% |
3569
663.6 IPS |
|
|
Image Classification (Q)
|
100% |
7643
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3869
62.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2368
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6707
108.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6768
7.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
6732
7.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
14074
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
3272
259.6 IPS |
|
|
Object Detection (HP)
|
100% |
3324
263.7 IPS |
|
|
Object Detection (Q)
|
88% |
8029
643.6 IPS |
|
|
Face Detection (SP)
|
100% |
7939
94.3 IPS |
|
|
Face Detection (HP)
|
100% |
7826
93.0 IPS |
|
|
Face Detection (Q)
|
100% |
19184
227.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8642
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8725
67.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
21631
168.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20105
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
19945
25.6 IPS |
|
|
Style Transfer (Q)
|
98% |
67757
87.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2345
86.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4164
153.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13000
481.4 IPS |
|
|
Text Classification (SP)
|
100% |
2281
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
2337
3.12 KIPS |
|
|
Text Classification (Q)
|
92% |
4582
6.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3374
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4516
77.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3352
57.7 IPS |
