ASUSTeK COMPUTER INC. ASUS Zenbook 14 UX3405MA_Q425MA
Geekbench ML Score
2932
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 10:15 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook 14 UX3405MA_Q425MA |
| Motherboard | ASUSTeK COMPUTER INC. UX3405MA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1356
253.7 IPS |
|
|
Image Classification (F16)
|
100% |
1372
256.8 IPS |
|
|
Image Classification (I8)
|
100% |
1198
224.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1531
25.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1502
25.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1320
22.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
13070
15.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
12846
15.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
12162
14.7 IPS |
|
|
Object Detection (F32)
|
100% |
1173
87.6 IPS |
|
|
Object Detection (F16)
|
100% |
1264
94.4 IPS |
|
|
Object Detection (I8)
|
54% |
1081
80.7 IPS |
|
|
Face Detection (F32)
|
100% |
1331
15.8 IPS |
|
|
Face Detection (F16)
|
100% |
1312
15.6 IPS |
|
|
Face Detection (I8)
|
89% |
1189
14.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
6117
47.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
7721
59.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
6321
49.0 IPS |
|
|
Style Transfer (F32)
|
100% |
41170
54.2 IPS |
|
|
Style Transfer (F16)
|
100% |
40605
53.4 IPS |
|
|
Style Transfer (I8)
|
98% |
31040
40.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7453
266.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7120
254.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5042
180.1 IPS |
|
|
Text Classification (F32)
|
90% |
723
1.04 KIPS |
|
|
Text Classification (F16)
|
90% |
731
1.05 KIPS |
|
|
Text Classification (I8)
|
90% |
541
776.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1506
27.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1502
27.6 IPS |
|
|
Machine Translation (I8)
|
70% |
847
15.6 IPS |
