Micro-Star International Co., Ltd. MS-7D31
Geekbench AI Score
4573
Single Precision Score
1651
Half Precision Score
8154
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | covetldx |
| Upload Date | October 02 2025 05:13 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-12900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D31 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z690 EDGE WIFI DDR4 (MS-7D31) |
| Power Plan | High performance |
| 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% |
3895
724.3 IPS |
|
|
Image Classification (HP)
|
100% |
638
118.7 IPS |
|
|
Image Classification (Q)
|
99% |
6404
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2040
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1017
16.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
10404
169.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7757
9.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
4489
5.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
25999
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3509
278.4 IPS |
|
|
Object Detection (HP)
|
100% |
764
60.6 IPS |
|
|
Object Detection (Q)
|
86% |
6714
539.6 IPS |
|
|
Face Detection (SP)
|
100% |
8895
105.7 IPS |
|
|
Face Detection (HP)
|
100% |
1788
21.2 IPS |
|
|
Face Detection (Q)
|
97% |
9981
119.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9672
74.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2177
16.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
16957
135.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18779
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10831
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
23762
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2958
109.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2110
77.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5949
220.3 IPS |
|
|
Text Classification (SP)
|
100% |
1713
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
816
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1465
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2262
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
934
16.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3189
64.1 IPS |
