Micro-Star International Co., Ltd. MS-7D86
Geekbench AI Score
4865
Single Precision Score
4886
Half Precision Score
12868
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Deimorin |
| Upload Date | June 21 2025 10:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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% |
2768
514.8 IPS |
|
|
Image Classification (HP)
|
100% |
2774
515.8 IPS |
|
|
Image Classification (Q)
|
100% |
9320
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4229
68.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4265
69.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9926
160.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7714
9.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
7177
8.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
27789
32.6 IPS |
|
|
Object Detection (SP)
|
100% |
2484
197.1 IPS |
|
|
Object Detection (HP)
|
100% |
2343
185.8 IPS |
|
|
Object Detection (Q)
|
88% |
9505
761.9 IPS |
|
|
Face Detection (SP)
|
100% |
8217
97.6 IPS |
|
|
Face Detection (HP)
|
100% |
8436
100.2 IPS |
|
|
Face Detection (Q)
|
100% |
13427
159.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7738
59.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8132
62.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
25114
195.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21139
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21192
27.2 IPS |
|
|
Style Transfer (Q)
|
98% |
78288
101.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3768
139.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3735
137.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13941
516.3 IPS |
|
|
Text Classification (SP)
|
100% |
2368
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
2617
3.49 KIPS |
|
|
Text Classification (Q)
|
92% |
5230
7.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2766
47.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2745
47.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2648
45.6 IPS |
