Micro-Star International Co., Ltd. GE62VR 6RF
Geekbench AI Score
993
Single Precision Score
1587
Half Precision Score
1476
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 01:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) HD Graphics 530 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Micro-Star International Co., Ltd. GE62VR 6RF |
| Motherboard | Micro-Star International Co., Ltd. MS-16JB |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
763
141.9 IPS |
|
|
Image Classification (HP)
|
100% |
1136
211.3 IPS |
|
|
Image Classification (Q)
|
100% |
797
148.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
422
6.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
1012
16.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
990
16.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1737
2.03 IPS |
|
|
Pose Estimation (HP)
|
99% |
1577
1.85 IPS |
|
|
Pose Estimation (Q)
|
97% |
2222
2.60 IPS |
|
|
Object Detection (SP)
|
100% |
540
42.8 IPS |
|
|
Object Detection (HP)
|
99% |
1281
101.9 IPS |
|
|
Object Detection (Q)
|
88% |
1192
95.6 IPS |
|
|
Face Detection (SP)
|
100% |
1143
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
2130
25.3 IPS |
|
|
Face Detection (Q)
|
97% |
2039
24.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2311
17.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
4046
31.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
3605
28.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5748
7.39 IPS |
|
|
Style Transfer (HP)
|
100% |
7770
9.99 IPS |
|
|
Style Transfer (Q)
|
98% |
6456
8.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
871
32.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1600
59.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1661
61.5 IPS |
|
|
Text Classification (SP)
|
71% |
474
685.5 IPS |
|
|
Text Classification (HP)
|
71% |
594
858.7 IPS |
|
|
Text Classification (Q)
|
92% |
432
580.7 IPS |
|
|
Machine Translation (SP)
|
100% |
493
8.48 IPS |
|
|
Machine Translation (HP)
|
97% |
687
11.9 IPS |
|
|
Machine Translation (Q)
|
98% |
692
12.0 IPS |
