MSI GT62VR 6RD Win11 ONNX Direct ML Micro-Star International Co., Ltd. GT62VR 6RD
Geekbench AI Score
3646
Single Precision Score
3812
Half Precision Score
2856
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | cllee |
| Upload Date | April 04 2025 10:27 PM |
| Views | 19 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1330
247.4 IPS |
|
|
Image Classification (HP)
|
100% |
1387
257.9 IPS |
|
|
Image Classification (Q)
|
100% |
1197
222.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2758
44.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3009
48.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2361
38.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13204
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
13830
16.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
12126
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1840
145.9 IPS |
|
|
Object Detection (HP)
|
100% |
1874
148.6 IPS |
|
|
Object Detection (Q)
|
86% |
1632
131.1 IPS |
|
|
Face Detection (SP)
|
100% |
4332
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
4626
55.0 IPS |
|
|
Face Detection (Q)
|
97% |
3739
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6001
46.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6254
48.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
5161
41.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26314
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27588
35.5 IPS |
|
|
Style Transfer (Q)
|
98% |
23456
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4169
153.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4434
163.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3419
126.6 IPS |
|
|
Text Classification (SP)
|
100% |
925
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
966
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
520
697.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1767
30.4 IPS |
|
|
Machine Translation (HP)
|
96% |
1756
30.4 IPS |
|
|
Machine Translation (Q)
|
70% |
805
15.1 IPS |
