Micro-Star International Co., Ltd. MS-7D86
Geekbench AI Score
5064
Single Precision Score
1674
Half Precision Score
6523
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | bearjett1 |
| Upload Date | December 07 2024 05:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| 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 (MS-7D86) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2803
521.3 IPS |
|
|
Image Classification (HP)
|
100% |
554
103.0 IPS |
|
|
Image Classification (Q)
|
99% |
4794
894.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2374
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1148
18.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4389
71.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12581
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
5215
6.08 IPS |
|
|
Pose Estimation (Q)
|
95% |
39640
46.5 IPS |
|
|
Object Detection (SP)
|
100% |
3327
263.9 IPS |
|
|
Object Detection (HP)
|
100% |
720
57.1 IPS |
|
|
Object Detection (Q)
|
88% |
2502
200.6 IPS |
|
|
Face Detection (SP)
|
100% |
5603
66.6 IPS |
|
|
Face Detection (HP)
|
100% |
1879
22.3 IPS |
|
|
Face Detection (Q)
|
97% |
5948
70.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11918
91.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2205
17.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
11338
90.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28242
36.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13033
16.8 IPS |
|
|
Style Transfer (Q)
|
98% |
32431
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4288
158.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2476
91.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5832
215.9 IPS |
|
|
Text Classification (SP)
|
100% |
2111
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
726
968.7 IPS |
|
|
Text Classification (Q)
|
97% |
1761
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2336
40.2 IPS |
|
|
Machine Translation (HP)
|
100% |
747
12.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2979
66.4 IPS |
