Micro-Star International Co., Ltd. GE62VR 6RF
Geekbench AI Score
1160
Single Precision Score
629
Half Precision Score
1390
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 01:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-6700HQ |
| 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% |
936
174.2 IPS |
|
|
Image Classification (HP)
|
100% |
265
49.3 IPS |
|
|
Image Classification (Q)
|
96% |
1435
268.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
471
7.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
359
5.82 IPS |
|
|
Image Segmentation (Q)
|
97% |
840
13.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1940
2.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1573
1.84 IPS |
|
|
Pose Estimation (Q)
|
86% |
3620
4.28 IPS |
|
|
Object Detection (SP)
|
100% |
920
73.0 IPS |
|
|
Object Detection (HP)
|
100% |
319
25.3 IPS |
|
|
Object Detection (Q)
|
58% |
1035
113.1 IPS |
|
|
Face Detection (SP)
|
100% |
1296
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
585
6.95 IPS |
|
|
Face Detection (Q)
|
96% |
2443
29.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2419
18.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
922
7.11 IPS |
|
|
Depth Estimation (Q)
|
78% |
2986
23.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4112
5.29 IPS |
|
|
Style Transfer (HP)
|
100% |
3563
4.58 IPS |
|
|
Style Transfer (Q)
|
87% |
5201
6.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
911
33.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
811
29.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1263
46.8 IPS |
|
|
Text Classification (SP)
|
100% |
627
836.3 IPS |
|
|
Text Classification (HP)
|
100% |
420
560.8 IPS |
|
|
Text Classification (Q)
|
97% |
281
376.8 IPS |
|
|
Machine Translation (SP)
|
100% |
767
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
311
5.35 IPS |
|
|
Machine Translation (Q)
|
68% |
444
8.58 IPS |
