Micro-Star International Co., Ltd. MS-7D86
Geekbench AI Score
7183
Single Precision Score
7215
Half Precision Score
15731
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | OGelato41 |
| Upload Date | July 04 2025 08:48 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i9-12900K |
| 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 (MS-7D86) |
| Power Plan | Muren's Low Latency |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4322
803.7 IPS |
|
|
Image Classification (HP)
|
100% |
4335
806.1 IPS |
|
|
Image Classification (Q)
|
100% |
9403
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5689
92.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5705
92.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10436
169.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8666
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8755
10.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
31688
37.1 IPS |
|
|
Object Detection (SP)
|
100% |
4098
325.1 IPS |
|
|
Object Detection (HP)
|
100% |
4410
349.8 IPS |
|
|
Object Detection (Q)
|
88% |
10228
819.9 IPS |
|
|
Face Detection (SP)
|
100% |
11907
141.5 IPS |
|
|
Face Detection (HP)
|
100% |
11936
141.8 IPS |
|
|
Face Detection (Q)
|
100% |
23927
284.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10993
84.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
10960
84.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
27387
213.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26131
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
25972
33.4 IPS |
|
|
Style Transfer (Q)
|
98% |
87635
113.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5377
198.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5399
199.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16141
597.8 IPS |
|
|
Text Classification (SP)
|
100% |
3961
5.29 KIPS |
|
|
Text Classification (HP)
|
100% |
3867
5.16 KIPS |
|
|
Text Classification (Q)
|
92% |
5631
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
5749
99.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5651
97.3 IPS |
|
|
Machine Translation (Q)
|
100% |
5593
96.3 IPS |
