Viglen Genie VIG830S
Geekbench AI Score
959
Single Precision Score
598
Half Precision Score
1151
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 01:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-6700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | Viglen Genie VIG830S |
| Motherboard | ASUSTeK COMPUTER INC. Q170M-C |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
580
107.9 IPS |
|
|
Image Classification (HP)
|
100% |
238
44.4 IPS |
|
|
Image Classification (Q)
|
96% |
940
175.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
460
7.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
335
5.42 IPS |
|
|
Image Segmentation (Q)
|
97% |
801
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1837
2.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
1670
1.95 IPS |
|
|
Pose Estimation (Q)
|
87% |
3679
4.35 IPS |
|
|
Object Detection (SP)
|
100% |
652
51.7 IPS |
|
|
Object Detection (HP)
|
100% |
317
25.2 IPS |
|
|
Object Detection (Q)
|
86% |
718
57.7 IPS |
|
|
Face Detection (SP)
|
100% |
731
8.69 IPS |
|
|
Face Detection (HP)
|
100% |
567
6.73 IPS |
|
|
Face Detection (Q)
|
96% |
1421
17.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1918
14.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
999
7.70 IPS |
|
|
Depth Estimation (Q)
|
77% |
1831
14.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4488
5.77 IPS |
|
|
Style Transfer (HP)
|
100% |
3918
5.04 IPS |
|
|
Style Transfer (Q)
|
87% |
4057
5.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
775
28.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
628
23.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1135
42.0 IPS |
|
|
Text Classification (SP)
|
100% |
651
868.6 IPS |
|
|
Text Classification (HP)
|
100% |
362
482.7 IPS |
|
|
Text Classification (Q)
|
97% |
264
354.1 IPS |
|
|
Machine Translation (SP)
|
100% |
652
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
279
4.80 IPS |
|
|
Machine Translation (Q)
|
60% |
654
14.6 IPS |
