ASUSTeK COMPUTER INC. VC65R
Geekbench AI Score
820
Single Precision Score
481
Half Precision Score
952
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | vitekkiev |
| Upload Date | November 03 2024 08:47 AM |
| Views | 8 |
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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
476
88.5 IPS |
|
|
Image Classification (HP)
|
100% |
188
34.9 IPS |
|
|
Image Classification (Q)
|
96% |
729
136.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
374
6.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
279
4.53 IPS |
|
|
Image Segmentation (Q)
|
97% |
617
10.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1561
1.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1326
1.55 IPS |
|
|
Pose Estimation (Q)
|
87% |
2833
3.35 IPS |
|
|
Object Detection (SP)
|
100% |
482
38.2 IPS |
|
|
Object Detection (HP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (Q)
|
86% |
512
41.2 IPS |
|
|
Face Detection (SP)
|
100% |
707
8.40 IPS |
|
|
Face Detection (HP)
|
100% |
467
5.55 IPS |
|
|
Face Detection (Q)
|
96% |
1173
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1472
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
723
5.57 IPS |
|
|
Depth Estimation (Q)
|
77% |
1493
12.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3686
4.74 IPS |
|
|
Style Transfer (HP)
|
100% |
2964
3.81 IPS |
|
|
Style Transfer (Q)
|
87% |
4397
5.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
708
26.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
646
23.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
979
36.3 IPS |
|
|
Text Classification (SP)
|
100% |
573
764.9 IPS |
|
|
Text Classification (HP)
|
100% |
266
355.0 IPS |
|
|
Text Classification (Q)
|
97% |
210
281.0 IPS |
|
|
Machine Translation (SP)
|
100% |
660
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
249
4.28 IPS |
|
|
Machine Translation (Q)
|
60% |
596
13.3 IPS |
