Micro-Star International Co., Ltd. MS-7D86
Geekbench AI Score
5387
Single Precision Score
5259
Half Precision Score
14234
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Deimorin |
| Upload Date | June 30 2025 10:43 AM |
| Views | 6 |
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% |
3386
629.6 IPS |
|
|
Image Classification (HP)
|
100% |
3328
618.9 IPS |
|
|
Image Classification (Q)
|
100% |
9996
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4941
80.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4963
80.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10835
175.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8757
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
8872
10.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
31434
36.8 IPS |
|
|
Object Detection (SP)
|
100% |
2873
227.9 IPS |
|
|
Object Detection (HP)
|
100% |
2626
208.3 IPS |
|
|
Object Detection (Q)
|
88% |
10318
827.1 IPS |
|
|
Face Detection (SP)
|
100% |
9461
112.4 IPS |
|
|
Face Detection (HP)
|
100% |
9058
107.6 IPS |
|
|
Face Detection (Q)
|
100% |
24299
288.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7939
61.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8852
68.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
25958
201.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22739
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23534
30.3 IPS |
|
|
Style Transfer (Q)
|
98% |
86436
111.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4447
164.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4388
162.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16934
627.1 IPS |
|
|
Text Classification (SP)
|
100% |
3020
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
2838
3.79 KIPS |
|
|
Text Classification (Q)
|
92% |
5551
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2132
36.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1792
30.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1897
32.7 IPS |
