ASUSTeK COMPUTER INC. Zenbook Flip UP3404VA_UP3404VA
Geekbench ML Score
2306
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 09 2023 07:40 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. Zenbook Flip UP3404VA_UP3404VA |
| Motherboard | ASUSTeK COMPUTER INC. UP3404VA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1360P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 18.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1065
199.2 IPS |
|
|
Image Classification (F16)
|
100% |
1077
201.5 IPS |
|
|
Image Classification (I8)
|
100% |
864
161.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1783
29.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1733
28.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1322
22.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
11767
14.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
11850
14.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
6025
7.30 IPS |
|
|
Object Detection (F32)
|
100% |
1032
77.0 IPS |
|
|
Object Detection (F16)
|
100% |
1017
75.9 IPS |
|
|
Object Detection (I8)
|
54% |
880
65.7 IPS |
|
|
Face Detection (F32)
|
100% |
2700
32.1 IPS |
|
|
Face Detection (F16)
|
100% |
2696
32.1 IPS |
|
|
Face Detection (I8)
|
89% |
1834
21.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5778
44.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
5710
44.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
4175
32.4 IPS |
|
|
Style Transfer (F32)
|
100% |
25080
33.0 IPS |
|
|
Style Transfer (F16)
|
100% |
25079
33.0 IPS |
|
|
Style Transfer (I8)
|
98% |
16312
21.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3464
123.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3527
126.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1515
54.1 IPS |
|
|
Text Classification (F32)
|
100% |
735
1.06 KIPS |
|
|
Text Classification (F16)
|
100% |
785
1.13 KIPS |
|
|
Text Classification (I8)
|
98% |
419
601.9 IPS |
|
|
Machine Translation (F32)
|
100% |
769
14.1 IPS |
|
|
Machine Translation (F16)
|
100% |
781
14.4 IPS |
|
|
Machine Translation (I8)
|
70% |
485
8.93 IPS |
