Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
4402
Single Precision Score
1629
Half Precision Score
7163
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 21 2025 08:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700 |
| 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 i7-12700 |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3356
624.0 IPS |
|
|
Image Classification (HP)
|
100% |
630
117.2 IPS |
|
|
Image Classification (Q)
|
99% |
6749
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2083
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1083
17.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3550
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7559
8.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
4161
4.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
24196
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
3193
253.3 IPS |
|
|
Object Detection (HP)
|
100% |
758
60.2 IPS |
|
|
Object Detection (Q)
|
86% |
6419
515.8 IPS |
|
|
Face Detection (SP)
|
100% |
7413
88.1 IPS |
|
|
Face Detection (HP)
|
100% |
1760
20.9 IPS |
|
|
Face Detection (Q)
|
97% |
9731
116.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9345
72.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2158
16.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
15232
121.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16821
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10923
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
22734
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3418
126.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2080
76.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4690
173.7 IPS |
|
|
Text Classification (SP)
|
100% |
1668
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
818
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1729
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2442
42.1 IPS |
|
|
Machine Translation (HP)
|
100% |
867
14.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3498
70.3 IPS |
