Micro-Star International Co., Ltd. MS-7D85
Geekbench AI Score
5975
Single Precision Score
6080
Half Precision Score
14918
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | September 17 2025 11:32 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D85 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z790 GODLIKE (MS-7D85) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i9-14900KS |
| 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 | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3152
586.2 IPS |
|
|
Image Classification (HP)
|
100% |
3214
597.8 IPS |
|
|
Image Classification (Q)
|
100% |
10013
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4403
71.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4758
77.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11390
184.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11016
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11292
13.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
21437
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
2922
231.7 IPS |
|
|
Object Detection (HP)
|
100% |
2938
233.0 IPS |
|
|
Object Detection (Q)
|
88% |
10948
877.6 IPS |
|
|
Face Detection (SP)
|
100% |
10055
119.5 IPS |
|
|
Face Detection (HP)
|
100% |
10348
123.0 IPS |
|
|
Face Detection (Q)
|
100% |
25979
308.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9559
73.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9466
72.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
28119
218.7 IPS |
|
|
Style Transfer (SP)
|
100% |
31491
40.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32833
42.2 IPS |
|
|
Style Transfer (Q)
|
98% |
95775
123.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4954
182.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4963
183.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17644
653.4 IPS |
|
|
Text Classification (SP)
|
100% |
3014
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3053
4.08 KIPS |
|
|
Text Classification (Q)
|
92% |
5753
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2876
49.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2794
48.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2872
49.5 IPS |
