Micro-Star International Co., Ltd. GE62VR 6RF
Geekbench AI Score
5249
Single Precision Score
5057
Half Precision Score
3997
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | zhuuu |
| Upload Date | January 06 2025 01:39 AM |
| Views | 4 |
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% |
2011
373.9 IPS |
|
|
Image Classification (HP)
|
100% |
2100
390.5 IPS |
|
|
Image Classification (Q)
|
99% |
1750
326.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2564
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2882
46.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2401
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
20571
24.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18111
21.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
18005
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
2598
206.0 IPS |
|
|
Object Detection (HP)
|
100% |
2664
211.3 IPS |
|
|
Object Detection (Q)
|
85% |
2237
179.9 IPS |
|
|
Face Detection (SP)
|
100% |
4753
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
4679
55.6 IPS |
|
|
Face Detection (Q)
|
97% |
3883
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10602
81.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
10436
80.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
8590
68.7 IPS |
|
|
Style Transfer (SP)
|
100% |
45244
58.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32634
42.0 IPS |
|
|
Style Transfer (Q)
|
98% |
37434
48.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7776
287.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7514
277.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5692
210.8 IPS |
|
|
Text Classification (SP)
|
100% |
1838
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
1825
2.44 KIPS |
|
|
Text Classification (Q)
|
97% |
923
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1770
30.5 IPS |
|
|
Machine Translation (HP)
|
96% |
1715
29.7 IPS |
|
|
Machine Translation (Q)
|
70% |
939
17.6 IPS |
