Micro-Star International Co., Ltd. GE62VR 6RF
Geekbench AI Score
4906
Single Precision Score
4746
Half Precision Score
3866
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | zhuuu |
| Upload Date | January 06 2025 01:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1060 |
| 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% |
1938
360.3 IPS |
|
|
Image Classification (HP)
|
100% |
2059
383.0 IPS |
|
|
Image Classification (Q)
|
99% |
1714
319.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2775
45.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2872
46.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2372
38.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15024
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
14296
16.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
17995
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
2590
205.4 IPS |
|
|
Object Detection (HP)
|
100% |
2649
210.1 IPS |
|
|
Object Detection (Q)
|
85% |
2202
177.1 IPS |
|
|
Face Detection (SP)
|
100% |
4724
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
5027
59.7 IPS |
|
|
Face Detection (Q)
|
97% |
4000
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10278
79.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
10334
79.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
8505
68.0 IPS |
|
|
Style Transfer (SP)
|
100% |
44861
57.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32356
41.6 IPS |
|
|
Style Transfer (Q)
|
98% |
35821
46.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6497
239.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6081
224.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4595
170.2 IPS |
|
|
Text Classification (SP)
|
100% |
1552
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
1670
2.23 KIPS |
|
|
Text Classification (Q)
|
97% |
900
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1759
30.3 IPS |
|
|
Machine Translation (HP)
|
96% |
1517
26.2 IPS |
|
|
Machine Translation (Q)
|
70% |
920
17.3 IPS |
