Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
6596
Single Precision Score
6623
Half Precision Score
14679
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | metadex |
| Upload Date | January 23 2026 03:08 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13700F |
| 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 WIFI (MS-7D25) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700F |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4111
764.5 IPS |
|
|
Image Classification (HP)
|
100% |
4043
751.8 IPS |
|
|
Image Classification (Q)
|
100% |
9069
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5362
86.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5405
87.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9853
159.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8190
9.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
8222
9.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
29888
35.0 IPS |
|
|
Object Detection (SP)
|
100% |
3716
294.7 IPS |
|
|
Object Detection (HP)
|
100% |
3758
298.1 IPS |
|
|
Object Detection (Q)
|
88% |
9581
768.0 IPS |
|
|
Face Detection (SP)
|
100% |
10309
122.5 IPS |
|
|
Face Detection (HP)
|
100% |
10405
123.6 IPS |
|
|
Face Detection (Q)
|
100% |
21939
260.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9946
76.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9995
77.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
24346
189.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23717
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
23913
30.7 IPS |
|
|
Style Transfer (Q)
|
98% |
81971
105.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5066
187.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5000
184.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15662
580.0 IPS |
|
|
Text Classification (SP)
|
100% |
3651
4.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3750
5.00 KIPS |
|
|
Text Classification (Q)
|
92% |
5094
6.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
5167
89.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5159
88.9 IPS |
|
|
Machine Translation (Q)
|
100% |
5200
89.6 IPS |
