Micro-Star International Co., Ltd. MS-7E01
Geekbench AI Score
2550
Single Precision Score
2617
Half Precision Score
4781
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 12:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i9-12900K |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E01 |
| Motherboard | Micro-Star International Co., Ltd. MAG B760M MORTAR WIFI DDR4 (MS-7E01) |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1532
285.0 IPS |
|
|
Image Classification (HP)
|
100% |
1547
287.8 IPS |
|
|
Image Classification (Q)
|
100% |
2111
392.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1555
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1535
24.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2930
47.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4333
5.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
4342
5.07 IPS |
|
|
Pose Estimation (Q)
|
96% |
10565
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
1348
106.9 IPS |
|
|
Object Detection (HP)
|
100% |
1298
103.0 IPS |
|
|
Object Detection (Q)
|
88% |
2159
173.1 IPS |
|
|
Face Detection (SP)
|
100% |
4424
52.6 IPS |
|
|
Face Detection (HP)
|
100% |
3365
40.0 IPS |
|
|
Face Detection (Q)
|
100% |
7167
85.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3710
28.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3740
28.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
8384
65.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9703
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10881
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
25214
32.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1783
65.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1799
66.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4805
178.0 IPS |
|
|
Text Classification (SP)
|
100% |
1139
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
1514
2.02 KIPS |
|
|
Text Classification (Q)
|
92% |
2618
3.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2585
44.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3021
52.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2322
40.0 IPS |
