Micro-Star International Co., Ltd. MS-7D86
Geekbench AI Score
4963
Single Precision Score
1565
Half Precision Score
7816
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Deimorin |
| Upload Date | June 21 2025 10:06 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D86 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z790 ACE MAX (MS-7D86) |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3929
730.7 IPS |
|
|
Image Classification (HP)
|
100% |
533
99.1 IPS |
|
|
Image Classification (Q)
|
99% |
6580
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2061
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
979
15.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4000
65.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9651
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
4471
5.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
29964
35.1 IPS |
|
|
Object Detection (SP)
|
100% |
3652
289.7 IPS |
|
|
Object Detection (HP)
|
100% |
694
55.0 IPS |
|
|
Object Detection (Q)
|
86% |
7126
572.7 IPS |
|
|
Face Detection (SP)
|
100% |
10736
127.6 IPS |
|
|
Face Detection (HP)
|
100% |
1759
20.9 IPS |
|
|
Face Detection (Q)
|
97% |
11193
133.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11346
87.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2152
16.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
16155
128.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21825
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11089
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
27992
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3415
126.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2113
78.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4965
183.8 IPS |
|
|
Text Classification (SP)
|
100% |
1555
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
750
1.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1598
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2252
38.8 IPS |
|
|
Machine Translation (HP)
|
100% |
819
14.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3771
75.8 IPS |
