Micro-Star International Co., Ltd. MS-7D30
Geekbench AI Score
6714
Single Precision Score
6694
Half Precision Score
14511
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | March 14 2026 05:47 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-12700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D30 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z690 CARBON WIFI (MS-7D30) |
| Power Plan | jaes |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700KF |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.61 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4228
786.3 IPS |
|
|
Image Classification (HP)
|
100% |
4246
789.6 IPS |
|
|
Image Classification (Q)
|
100% |
9005
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5472
88.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5501
89.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10091
163.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8388
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
8371
9.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
30732
36.0 IPS |
|
|
Object Detection (SP)
|
100% |
4076
323.3 IPS |
|
|
Object Detection (HP)
|
100% |
4085
324.0 IPS |
|
|
Object Detection (Q)
|
88% |
9851
789.7 IPS |
|
|
Face Detection (SP)
|
100% |
10884
129.3 IPS |
|
|
Face Detection (HP)
|
100% |
10879
129.3 IPS |
|
|
Face Detection (Q)
|
100% |
22762
270.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10685
82.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
10719
82.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
25679
199.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24944
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24961
32.1 IPS |
|
|
Style Transfer (Q)
|
98% |
84308
108.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5184
191.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5177
191.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15620
578.5 IPS |
|
|
Text Classification (SP)
|
100% |
3598
4.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3526
4.71 KIPS |
|
|
Text Classification (Q)
|
92% |
4694
6.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4355
75.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4259
73.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4167
71.8 IPS |
