MSI GT62VR 6RD Win11 OpenVINO 32GB RAM Micro-Star International Co., Ltd. GT62VR 6RD
Geekbench AI Score
2000
Single Precision Score
2073
Half Precision Score
2869
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | cllee |
| Upload Date | April 05 2025 09:59 PM |
| Views | 6 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1215
226.0 IPS |
|
|
Image Classification (HP)
|
100% |
1207
224.5 IPS |
|
|
Image Classification (Q)
|
100% |
1901
353.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1315
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1317
21.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2057
33.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2503
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2322
2.71 IPS |
|
|
Pose Estimation (Q)
|
94% |
4597
5.39 IPS |
|
|
Object Detection (SP)
|
100% |
1231
97.6 IPS |
|
|
Object Detection (HP)
|
100% |
1230
97.6 IPS |
|
|
Object Detection (Q)
|
87% |
1938
155.4 IPS |
|
|
Face Detection (SP)
|
100% |
2769
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
2754
32.7 IPS |
|
|
Face Detection (Q)
|
97% |
3240
38.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2091
16.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3230
24.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
5213
41.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7247
9.32 IPS |
|
|
Style Transfer (HP)
|
100% |
7284
9.36 IPS |
|
|
Style Transfer (Q)
|
98% |
13153
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1500
55.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1509
55.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2695
99.8 IPS |
|
|
Text Classification (SP)
|
100% |
1477
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
1475
1.97 KIPS |
|
|
Text Classification (Q)
|
91% |
868
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2244
38.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2249
38.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2091
36.0 IPS |
