Micro-Star International Co., Ltd. MS-7D86
Geekbench AI Score
6494
Single Precision Score
6505
Half Precision Score
15437
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Deimorin |
| Upload Date | March 06 2025 07:13 PM |
| Views | 5 |
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 | Ausbalanciert |
| 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% |
3915
728.0 IPS |
|
|
Image Classification (HP)
|
100% |
3740
695.5 IPS |
|
|
Image Classification (Q)
|
100% |
9491
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5417
87.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5498
89.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10633
172.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11525
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
11465
13.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
32992
38.6 IPS |
|
|
Object Detection (SP)
|
100% |
3182
252.4 IPS |
|
|
Object Detection (HP)
|
100% |
3203
254.0 IPS |
|
|
Object Detection (Q)
|
88% |
10203
817.9 IPS |
|
|
Face Detection (SP)
|
100% |
10589
125.8 IPS |
|
|
Face Detection (HP)
|
100% |
10619
126.2 IPS |
|
|
Face Detection (Q)
|
100% |
25461
302.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10692
82.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
10731
82.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
28801
223.9 IPS |
|
|
Style Transfer (SP)
|
100% |
35190
45.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35290
45.4 IPS |
|
|
Style Transfer (Q)
|
98% |
97525
125.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5123
189.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5098
188.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17678
654.7 IPS |
|
|
Text Classification (SP)
|
100% |
2850
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
2913
3.89 KIPS |
|
|
Text Classification (Q)
|
92% |
6035
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2950
50.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3011
51.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2965
51.1 IPS |
