Micro-Star International Co., Ltd. GE62VR 6RF
Geekbench AI Score
1012
Single Precision Score
533
Half Precision Score
1375
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 01:19 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% |
564
104.9 IPS |
|
|
Image Classification (HP)
|
100% |
143
26.5 IPS |
|
|
Image Classification (Q)
|
96% |
866
161.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
213
3.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
181
2.94 IPS |
|
|
Image Segmentation (Q)
|
97% |
642
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1467
1.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
1230
1.44 IPS |
|
|
Pose Estimation (Q)
|
86% |
2894
3.42 IPS |
|
|
Object Detection (SP)
|
100% |
807
64.0 IPS |
|
|
Object Detection (HP)
|
100% |
245
19.5 IPS |
|
|
Object Detection (Q)
|
58% |
932
101.8 IPS |
|
|
Face Detection (SP)
|
100% |
1277
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
601
7.14 IPS |
|
|
Face Detection (Q)
|
96% |
2513
30.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2220
17.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
970
7.47 IPS |
|
|
Depth Estimation (Q)
|
78% |
3469
27.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4760
6.12 IPS |
|
|
Style Transfer (HP)
|
100% |
3648
4.69 IPS |
|
|
Style Transfer (Q)
|
87% |
5149
6.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
910
33.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
774
28.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1359
50.4 IPS |
|
|
Text Classification (SP)
|
100% |
822
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
448
597.5 IPS |
|
|
Text Classification (Q)
|
97% |
298
399.2 IPS |
|
|
Machine Translation (SP)
|
100% |
788
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
326
5.61 IPS |
|
|
Machine Translation (Q)
|
68% |
890
17.2 IPS |
