MSI GT62VR 6RD Win11 OpenVINO Micro-Star International Co., Ltd. GT62VR 6RD
Geekbench AI Score
2073
Single Precision Score
2070
Half Precision Score
2981
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | cllee |
| Upload Date | April 04 2025 10:34 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-6700HQ CPU @ 2.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. GT62VR 6RD |
| Motherboard | Micro-Star International Co., Ltd. MS-16L2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1216
226.2 IPS |
|
|
Image Classification (HP)
|
100% |
1193
221.9 IPS |
|
|
Image Classification (Q)
|
100% |
1860
345.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1275
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1279
20.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2042
33.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2521
2.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
2502
2.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
4571
5.36 IPS |
|
|
Object Detection (SP)
|
100% |
1216
96.4 IPS |
|
|
Object Detection (HP)
|
100% |
1207
95.8 IPS |
|
|
Object Detection (Q)
|
87% |
1930
154.8 IPS |
|
|
Face Detection (SP)
|
100% |
2656
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
2668
31.7 IPS |
|
|
Face Detection (Q)
|
97% |
4981
59.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3250
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3283
25.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
5114
40.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7259
9.33 IPS |
|
|
Style Transfer (HP)
|
100% |
7266
9.34 IPS |
|
|
Style Transfer (Q)
|
98% |
13110
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1485
54.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1494
55.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2680
99.3 IPS |
|
|
Text Classification (SP)
|
100% |
1484
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
1480
1.98 KIPS |
|
|
Text Classification (Q)
|
91% |
852
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2235
38.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2234
38.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2173
37.4 IPS |
