Micro-Star International Co., Ltd. Desktop MAG H610 Infinite S3 14
Geekbench AI Score
5726
Single Precision Score
5788
Half Precision Score
14108
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | HighlanderUK |
| Upload Date | April 06 2025 05:15 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-14700F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | Micro-Star International Co., Ltd. Desktop MAG H610 Infinite S3 14 |
| Motherboard | Micro-Star International Co., Ltd. PRO H610M-G (MS-7D46) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700F |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3933
731.4 IPS |
|
|
Image Classification (HP)
|
100% |
3928
730.6 IPS |
|
|
Image Classification (Q)
|
100% |
8590
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5097
82.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5160
83.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9753
158.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7627
8.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
7499
8.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
27193
31.9 IPS |
|
|
Object Detection (SP)
|
100% |
2119
168.1 IPS |
|
|
Object Detection (HP)
|
100% |
2123
168.4 IPS |
|
|
Object Detection (Q)
|
88% |
9163
734.5 IPS |
|
|
Face Detection (SP)
|
100% |
6472
76.9 IPS |
|
|
Face Detection (HP)
|
100% |
6607
78.5 IPS |
|
|
Face Detection (Q)
|
100% |
21596
256.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9284
71.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9873
76.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
23923
186.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21938
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
22742
29.2 IPS |
|
|
Style Transfer (Q)
|
98% |
77548
100.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4738
174.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4800
177.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14612
541.1 IPS |
|
|
Text Classification (SP)
|
100% |
3560
4.75 KIPS |
|
|
Text Classification (HP)
|
100% |
3619
4.83 KIPS |
|
|
Text Classification (Q)
|
92% |
5046
6.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
5267
90.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5077
87.4 IPS |
|
|
Machine Translation (Q)
|
100% |
5068
87.3 IPS |
