ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop K3502ZA
Geekbench ML Score
1768
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 04:17 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop K3502ZA |
| Motherboard | ASUSTeK COMPUTER INC. K3502ZA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12500H |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 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% |
873
163.3 IPS |
|
|
Image Classification (F16)
|
100% |
887
165.9 IPS |
|
|
Image Classification (I8)
|
100% |
750
140.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1226
20.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1164
19.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
985
16.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6944
8.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
7424
8.99 IPS |
|
|
Pose Estimation (I8)
|
100% |
4308
5.22 IPS |
|
|
Object Detection (F32)
|
100% |
834
62.3 IPS |
|
|
Object Detection (F16)
|
100% |
894
66.8 IPS |
|
|
Object Detection (I8)
|
54% |
746
55.7 IPS |
|
|
Face Detection (F32)
|
100% |
1830
21.8 IPS |
|
|
Face Detection (F16)
|
100% |
1813
21.6 IPS |
|
|
Face Detection (I8)
|
89% |
1238
14.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
4272
33.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
4282
33.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
3143
24.4 IPS |
|
|
Style Transfer (F32)
|
100% |
18328
24.1 IPS |
|
|
Style Transfer (F16)
|
100% |
18259
24.0 IPS |
|
|
Style Transfer (I8)
|
98% |
11853
15.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2630
93.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2714
96.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1218
43.5 IPS |
|
|
Text Classification (F32)
|
100% |
599
860.8 IPS |
|
|
Text Classification (F16)
|
100% |
648
930.8 IPS |
|
|
Text Classification (I8)
|
98% |
367
527.1 IPS |
|
|
Machine Translation (F32)
|
100% |
711
13.1 IPS |
|
|
Machine Translation (F16)
|
100% |
739
13.6 IPS |
|
|
Machine Translation (I8)
|
70% |
433
7.97 IPS |
