Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
4491
Single Precision Score
1696
Half Precision Score
7572
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Fraxxed16 |
| Upload Date | May 25 2025 05:18 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
3263
606.8 IPS |
|
|
Image Classification (HP)
|
100% |
583
108.3 IPS |
|
|
Image Classification (Q)
|
99% |
5815
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1966
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1043
16.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3818
62.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7835
9.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
4879
5.69 IPS |
|
|
Pose Estimation (Q)
|
94% |
25969
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
3204
254.1 IPS |
|
|
Object Detection (HP)
|
100% |
745
59.1 IPS |
|
|
Object Detection (Q)
|
86% |
6950
558.5 IPS |
|
|
Face Detection (SP)
|
100% |
8518
101.2 IPS |
|
|
Face Detection (HP)
|
100% |
1898
22.6 IPS |
|
|
Face Detection (Q)
|
97% |
11091
132.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9809
75.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2325
17.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
16102
128.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18268
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11996
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
24947
32.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3437
126.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2267
83.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5044
186.8 IPS |
|
|
Text Classification (SP)
|
100% |
1697
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
822
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1795
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2330
40.1 IPS |
|
|
Machine Translation (HP)
|
100% |
906
15.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3835
77.1 IPS |
