MSI GT62VR 6RD Win11 ONNX Direct ML 32GB RAM Micro-Star International Co., Ltd. GT62VR 6RD
Geekbench AI Score
3442
Single Precision Score
3693
Half Precision Score
2723
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | cllee |
| Upload Date | April 05 2025 09:55 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1060 |
| 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% |
1234
229.5 IPS |
|
|
Image Classification (HP)
|
100% |
1305
242.7 IPS |
|
|
Image Classification (Q)
|
100% |
1080
200.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2657
43.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2916
47.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2261
36.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13126
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
13836
16.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
11784
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1706
135.4 IPS |
|
|
Object Detection (HP)
|
100% |
1788
141.8 IPS |
|
|
Object Detection (Q)
|
86% |
1488
119.5 IPS |
|
|
Face Detection (SP)
|
100% |
4140
49.2 IPS |
|
|
Face Detection (HP)
|
100% |
4469
53.1 IPS |
|
|
Face Detection (Q)
|
97% |
3498
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5762
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6003
46.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
4823
38.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26040
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26849
34.5 IPS |
|
|
Style Transfer (Q)
|
98% |
22841
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3997
147.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4257
157.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3128
115.8 IPS |
|
|
Text Classification (SP)
|
100% |
786
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
1010
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
503
674.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1632
28.1 IPS |
|
|
Machine Translation (HP)
|
96% |
1621
28.0 IPS |
|
|
Machine Translation (Q)
|
70% |
864
16.2 IPS |
