ASUSTeK COMPUTER INC. Zenbook UM5302LA_UM5302LA
Geekbench ML Score
4891
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2024 01:05 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. Zenbook UM5302LA_UM5302LA |
| Motherboard | ASUSTeK COMPUTER INC. UM5302LA |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 780M |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2069
387.1 IPS |
|
|
Image Classification (F16)
|
100% |
2014
376.8 IPS |
|
|
Image Classification (I8)
|
100% |
1825
341.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2928
48.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2954
49.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2378
39.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
35614
43.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
35809
43.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
27142
32.9 IPS |
|
|
Object Detection (F32)
|
100% |
1398
104.4 IPS |
|
|
Object Detection (F16)
|
100% |
1424
106.3 IPS |
|
|
Object Detection (I8)
|
62% |
1331
99.4 IPS |
|
|
Face Detection (F32)
|
100% |
5166
61.4 IPS |
|
|
Face Detection (F16)
|
100% |
5207
61.9 IPS |
|
|
Face Detection (I8)
|
89% |
4097
48.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
14891
115.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
14974
116.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
11716
90.9 IPS |
|
|
Style Transfer (F32)
|
100% |
32127
42.3 IPS |
|
|
Style Transfer (F16)
|
100% |
32431
42.7 IPS |
|
|
Style Transfer (I8)
|
98% |
28424
37.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5907
211.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5866
209.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4336
154.9 IPS |
|
|
Text Classification (F32)
|
100% |
1806
2.60 KIPS |
|
|
Text Classification (F16)
|
100% |
1775
2.55 KIPS |
|
|
Text Classification (I8)
|
98% |
1476
2.12 KIPS |
|
|
Machine Translation (F32)
|
100% |
1987
36.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1915
35.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1458
26.8 IPS |
