Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
6155
Single Precision Score
5910
Half Precision Score
13701
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 06 2024 12:22 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-14600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D91 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z790 TOMAHAWK WIFI DDR4 (MS-7D91) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4037
750.7 IPS |
|
|
Image Classification (HP)
|
100% |
4035
750.3 IPS |
|
|
Image Classification (Q)
|
100% |
8456
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4523
73.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4572
74.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7866
127.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7483
8.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
7484
8.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
27452
32.2 IPS |
|
|
Object Detection (SP)
|
100% |
3835
304.2 IPS |
|
|
Object Detection (HP)
|
100% |
3833
304.0 IPS |
|
|
Object Detection (Q)
|
88% |
9101
729.5 IPS |
|
|
Face Detection (SP)
|
100% |
10219
121.4 IPS |
|
|
Face Detection (HP)
|
100% |
6682
79.4 IPS |
|
|
Face Detection (Q)
|
100% |
21930
260.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9948
76.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9815
75.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
24046
187.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22361
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22387
28.8 IPS |
|
|
Style Transfer (Q)
|
98% |
65728
84.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4801
177.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4780
176.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14807
548.4 IPS |
|
|
Text Classification (SP)
|
100% |
2553
3.41 KIPS |
|
|
Text Classification (HP)
|
100% |
2558
3.41 KIPS |
|
|
Text Classification (Q)
|
92% |
5109
6.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
5345
92.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5480
94.4 IPS |
|
|
Machine Translation (Q)
|
100% |
5350
92.2 IPS |
