ASUSTeK COMPUTER INC. ASUS Zenbook 14 UX3405MA_UX3405MA
Geekbench ML Score
2995
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2024 10:03 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook 14 UX3405MA_UX3405MA |
| Motherboard | ASUSTeK COMPUTER INC. UX3405MA |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1547
289.4 IPS |
|
|
Image Classification (F16)
|
100% |
1499
280.5 IPS |
|
|
Image Classification (I8)
|
99% |
2480
464.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1325
22.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1340
22.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2451
40.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
5784
7.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
5773
6.99 IPS |
|
|
Pose Estimation (I8)
|
100% |
20818
25.2 IPS |
|
|
Object Detection (F32)
|
100% |
1492
111.4 IPS |
|
|
Object Detection (F16)
|
100% |
1507
112.5 IPS |
|
|
Object Detection (I8)
|
62% |
1289
96.2 IPS |
|
|
Face Detection (F32)
|
100% |
3570
42.4 IPS |
|
|
Face Detection (F16)
|
100% |
3547
42.2 IPS |
|
|
Face Detection (I8)
|
89% |
3655
43.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5618
43.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
5829
45.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
12023
93.2 IPS |
|
|
Style Transfer (F32)
|
100% |
13858
18.2 IPS |
|
|
Style Transfer (F16)
|
100% |
14147
18.6 IPS |
|
|
Style Transfer (I8)
|
98% |
18874
24.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2507
89.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2634
94.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3879
138.5 IPS |
|
|
Text Classification (F32)
|
100% |
980
1.41 KIPS |
|
|
Text Classification (F16)
|
100% |
935
1.34 KIPS |
|
|
Text Classification (I8)
|
98% |
409
588.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1612
29.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1629
30.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2307
42.5 IPS |
