ASUSTeK COMPUTER INC. VC65R
Geekbench AI Score
1108
Single Precision Score
578
Half Precision Score
1221
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | vitekkiev |
| Upload Date | November 03 2024 11:00 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-6400T |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. VC65R |
| Motherboard | ASUSTeK COMPUTER INC. VC65R |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6400T |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
455
84.6 IPS |
|
|
Image Classification (HP)
|
100% |
129
24.0 IPS |
|
|
Image Classification (Q)
|
96% |
940
175.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
548
8.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
357
5.78 IPS |
|
|
Image Segmentation (Q)
|
97% |
742
12.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1964
2.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1634
1.91 IPS |
|
|
Pose Estimation (Q)
|
87% |
3333
3.94 IPS |
|
|
Object Detection (SP)
|
100% |
714
56.6 IPS |
|
|
Object Detection (HP)
|
100% |
299
23.7 IPS |
|
|
Object Detection (Q)
|
86% |
729
58.6 IPS |
|
|
Face Detection (SP)
|
100% |
1117
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
656
7.80 IPS |
|
|
Face Detection (Q)
|
96% |
1667
19.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2233
17.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
912
7.02 IPS |
|
|
Depth Estimation (Q)
|
77% |
1955
15.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4765
6.12 IPS |
|
|
Style Transfer (HP)
|
100% |
3758
4.83 IPS |
|
|
Style Transfer (Q)
|
87% |
5849
7.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
926
34.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
809
29.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1192
44.2 IPS |
|
|
Text Classification (SP)
|
100% |
762
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
328
438.1 IPS |
|
|
Text Classification (Q)
|
97% |
243
326.1 IPS |
|
|
Machine Translation (SP)
|
100% |
953
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
312
5.38 IPS |
|
|
Machine Translation (Q)
|
60% |
791
17.6 IPS |
