Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
4346
Single Precision Score
1693
Half Precision Score
7012
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | MaisieMarlowe |
| Upload Date | February 16 2025 10:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D25 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z690-A WIFI DDR4(MS-7D25) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700K |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3528
656.2 IPS |
|
|
Image Classification (HP)
|
100% |
646
120.1 IPS |
|
|
Image Classification (Q)
|
99% |
6336
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1930
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1108
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3250
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7560
8.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
4590
5.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
24894
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
3103
246.1 IPS |
|
|
Object Detection (HP)
|
100% |
791
62.8 IPS |
|
|
Object Detection (Q)
|
86% |
6431
516.8 IPS |
|
|
Face Detection (SP)
|
100% |
6996
83.1 IPS |
|
|
Face Detection (HP)
|
100% |
1789
21.3 IPS |
|
|
Face Detection (Q)
|
97% |
9399
112.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9533
73.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2305
17.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
15234
121.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17421
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11453
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
21434
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3436
126.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2275
84.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4796
177.6 IPS |
|
|
Text Classification (SP)
|
100% |
1785
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
846
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1829
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2113
36.4 IPS |
|
|
Machine Translation (HP)
|
100% |
819
14.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3238
65.1 IPS |
