Micro-Star International Co., Ltd. MS-7E01
Geekbench AI Score
5033
Single Precision Score
1692
Half Precision Score
7375
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 12:16 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
4136
769.1 IPS |
|
|
Image Classification (HP)
|
100% |
635
118.1 IPS |
|
|
Image Classification (Q)
|
99% |
6546
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2336
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1223
19.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7735
125.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9480
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
4380
5.11 IPS |
|
|
Pose Estimation (Q)
|
94% |
31003
36.4 IPS |
|
|
Object Detection (SP)
|
100% |
3606
286.1 IPS |
|
|
Object Detection (HP)
|
100% |
956
75.8 IPS |
|
|
Object Detection (Q)
|
86% |
6373
512.2 IPS |
|
|
Face Detection (SP)
|
100% |
9816
116.6 IPS |
|
|
Face Detection (HP)
|
100% |
1757
20.9 IPS |
|
|
Face Detection (Q)
|
97% |
10865
129.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11302
87.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2226
17.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
15726
125.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20331
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10652
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
26379
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3491
128.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2052
75.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6053
224.1 IPS |
|
|
Text Classification (SP)
|
100% |
1817
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
665
887.4 IPS |
|
|
Text Classification (Q)
|
97% |
651
872.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2210
38.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1041
17.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2680
53.9 IPS |
