ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
6136
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 17 2025 09:43 AM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA |
| Motherboard | ASUSTeK COMPUTER INC. UM5606WA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 1.00 MB x 12 |
| L3 Cache | 5.33 MB x 3 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2091
391.3 IPS |
|
|
Image Classification (F16)
|
100% |
2117
396.1 IPS |
|
|
Image Classification (I8)
|
100% |
1792
335.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
4123
68.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
4193
70.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
3397
56.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
40864
49.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
40690
49.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
30454
36.9 IPS |
|
|
Object Detection (F32)
|
100% |
1563
116.7 IPS |
|
|
Object Detection (F16)
|
100% |
1639
122.4 IPS |
|
|
Object Detection (I8)
|
62% |
1545
115.3 IPS |
|
|
Face Detection (F32)
|
100% |
5866
69.8 IPS |
|
|
Face Detection (F16)
|
100% |
5922
70.4 IPS |
|
|
Face Detection (I8)
|
89% |
4662
55.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
15493
120.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
15036
116.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
12359
95.8 IPS |
|
|
Style Transfer (F32)
|
100% |
67378
88.6 IPS |
|
|
Style Transfer (F16)
|
100% |
66184
87.1 IPS |
|
|
Style Transfer (I8)
|
98% |
46276
60.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8469
302.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10326
368.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7103
253.7 IPS |
|
|
Text Classification (F32)
|
100% |
2241
3.22 KIPS |
|
|
Text Classification (F16)
|
100% |
2250
3.23 KIPS |
|
|
Text Classification (I8)
|
98% |
1658
2.38 KIPS |
|
|
Machine Translation (F32)
|
100% |
2450
45.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2544
46.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1492
27.5 IPS |
