Micro-Star International Co., Ltd. MS-7D86
Geekbench AI Score
4560
Single Precision Score
4640
Half Precision Score
13135
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Deimorin |
| Upload Date | June 21 2025 10:02 PM |
| Views | 3 |
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% |
2678
498.0 IPS |
|
|
Image Classification (HP)
|
100% |
2798
520.3 IPS |
|
|
Image Classification (Q)
|
100% |
8723
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4296
69.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4204
68.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9832
159.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7177
8.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
7078
8.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
27086
31.7 IPS |
|
|
Object Detection (SP)
|
100% |
2227
176.7 IPS |
|
|
Object Detection (HP)
|
100% |
2243
178.0 IPS |
|
|
Object Detection (Q)
|
88% |
9449
757.4 IPS |
|
|
Face Detection (SP)
|
100% |
7379
87.7 IPS |
|
|
Face Detection (HP)
|
100% |
7748
92.1 IPS |
|
|
Face Detection (Q)
|
100% |
21864
259.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7249
55.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7201
55.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
24363
189.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19532
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
19624
25.2 IPS |
|
|
Style Transfer (Q)
|
98% |
78825
101.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3575
132.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3635
134.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14874
550.8 IPS |
|
|
Text Classification (SP)
|
100% |
2415
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
2689
3.59 KIPS |
|
|
Text Classification (Q)
|
92% |
5226
7.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2347
40.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2316
39.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2135
36.8 IPS |
