Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
7391
Single Precision Score
7410
Half Precision Score
16244
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | iClondike |
| Upload Date | November 14 2025 05:26 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-14700K |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D91 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z790 TOMAHAWK WIFI (MS-7D91) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4829
898.1 IPS |
|
|
Image Classification (HP)
|
100% |
4846
901.1 IPS |
|
|
Image Classification (Q)
|
100% |
10270
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6127
99.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6194
100.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
11504
186.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9204
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9350
10.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
34402
40.3 IPS |
|
|
Object Detection (SP)
|
100% |
4566
362.2 IPS |
|
|
Object Detection (HP)
|
100% |
4606
365.4 IPS |
|
|
Object Detection (Q)
|
88% |
10616
851.0 IPS |
|
|
Face Detection (SP)
|
100% |
13374
158.9 IPS |
|
|
Face Detection (HP)
|
100% |
8675
103.1 IPS |
|
|
Face Detection (Q)
|
100% |
18996
225.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11877
91.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
11810
91.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
29591
230.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17140
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27678
35.6 IPS |
|
|
Style Transfer (Q)
|
98% |
93250
120.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5845
215.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5790
213.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17632
653.0 IPS |
|
|
Text Classification (SP)
|
100% |
4204
5.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4145
5.53 KIPS |
|
|
Text Classification (Q)
|
92% |
5707
7.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
5853
100.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5679
97.8 IPS |
|
|
Machine Translation (Q)
|
100% |
5621
96.8 IPS |
