Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
4122
Single Precision Score
1549
Half Precision Score
7256
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | danny22 |
| Upload Date | February 07 2025 12:37 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (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 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3218
598.4 IPS |
|
|
Image Classification (HP)
|
100% |
569
105.9 IPS |
|
|
Image Classification (Q)
|
99% |
6254
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1770
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
911
14.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3743
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7153
8.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
4394
5.13 IPS |
|
|
Pose Estimation (Q)
|
94% |
24105
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
2974
235.9 IPS |
|
|
Object Detection (HP)
|
100% |
705
55.9 IPS |
|
|
Object Detection (Q)
|
86% |
6369
511.9 IPS |
|
|
Face Detection (SP)
|
100% |
7723
91.8 IPS |
|
|
Face Detection (HP)
|
100% |
1679
19.9 IPS |
|
|
Face Detection (Q)
|
97% |
10005
119.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9205
70.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2162
16.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
15798
126.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16471
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10667
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
23547
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2944
108.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2075
76.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4963
183.8 IPS |
|
|
Text Classification (SP)
|
100% |
1732
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
812
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1866
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1958
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
762
13.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3268
65.7 IPS |
