Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
5013
Single Precision Score
5036
Half Precision Score
11810
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Fraxxed16 |
| Upload Date | May 25 2025 05:20 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D25 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z690-A DDR4(MS-7D25) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| 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% |
3471
645.5 IPS |
|
|
Image Classification (HP)
|
100% |
3461
643.6 IPS |
|
|
Image Classification (Q)
|
100% |
7864
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4455
72.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4455
72.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8133
131.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6464
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
6519
7.61 IPS |
|
|
Pose Estimation (Q)
|
96% |
24191
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
3241
257.1 IPS |
|
|
Object Detection (HP)
|
100% |
3302
261.9 IPS |
|
|
Object Detection (Q)
|
88% |
8126
651.4 IPS |
|
|
Face Detection (SP)
|
100% |
5728
68.1 IPS |
|
|
Face Detection (HP)
|
100% |
5525
65.7 IPS |
|
|
Face Detection (Q)
|
100% |
18488
219.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7926
61.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8415
64.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
21332
165.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11604
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11301
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
36597
47.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3974
146.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3914
144.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12362
457.8 IPS |
|
|
Text Classification (SP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3044
4.06 KIPS |
|
|
Text Classification (Q)
|
92% |
4679
6.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
5024
86.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5054
87.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5030
86.6 IPS |
