Micro-Star International Co., Ltd. MS-7D32
Geekbench AI Score
4579
Single Precision Score
1639
Half Precision Score
8257
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 16 2026 06:39 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700KF |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D32 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z690 TOMAHAWK WIFI (MS-7D32) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700KF |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3804
707.4 IPS |
|
|
Image Classification (HP)
|
100% |
616
114.6 IPS |
|
|
Image Classification (Q)
|
99% |
6335
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2065
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
973
15.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9760
158.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7381
8.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
4381
5.11 IPS |
|
|
Pose Estimation (Q)
|
94% |
28563
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
3425
271.6 IPS |
|
|
Object Detection (HP)
|
100% |
787
62.4 IPS |
|
|
Object Detection (Q)
|
86% |
6586
529.3 IPS |
|
|
Face Detection (SP)
|
100% |
10504
124.8 IPS |
|
|
Face Detection (HP)
|
100% |
1764
21.0 IPS |
|
|
Face Detection (Q)
|
97% |
10063
120.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9826
75.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2277
17.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
16059
128.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17982
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10747
13.8 IPS |
|
|
Style Transfer (Q)
|
98% |
27072
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3203
118.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2046
75.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5419
200.7 IPS |
|
|
Text Classification (SP)
|
100% |
1575
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
813
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1599
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2181
37.6 IPS |
|
|
Machine Translation (HP)
|
100% |
943
16.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3341
67.1 IPS |
