ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop X1605ZA_F1605ZA
Geekbench ML Score
2298
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 10 2025 09:32 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop X1605ZA_F1605ZA |
| Motherboard | ASUSTeK COMPUTER INC. X1605ZA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1255U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 48.0 KB x 6 |
| L2 Cache | 1.25 MB x 1 |
| L3 Cache | 12.0 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)
|
47% |
1285
240.5 IPS |
|
|
Image Classification (F16)
|
47% |
1323
247.5 IPS |
|
|
Image Classification (I8)
|
0% |
982
183.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1507
25.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1504
25.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1171
19.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
10720
13.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
10686
12.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
7251
8.78 IPS |
|
|
Object Detection (F32)
|
2% |
1201
89.6 IPS |
|
|
Object Detection (F16)
|
2% |
1103
82.3 IPS |
|
|
Object Detection (I8)
|
1% |
920
68.7 IPS |
|
|
Face Detection (F32)
|
100% |
2554
30.4 IPS |
|
|
Face Detection (F16)
|
100% |
2612
31.1 IPS |
|
|
Face Detection (I8)
|
88% |
1710
20.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
6500
50.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
6486
50.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
5019
38.9 IPS |
|
|
Style Transfer (F32)
|
100% |
20874
27.5 IPS |
|
|
Style Transfer (F16)
|
100% |
20756
27.3 IPS |
|
|
Style Transfer (I8)
|
98% |
14356
18.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3144
112.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3160
112.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2023
72.3 IPS |
|
|
Text Classification (F32)
|
100% |
712
1.02 KIPS |
|
|
Text Classification (F16)
|
100% |
669
961.1 IPS |
|
|
Text Classification (I8)
|
98% |
359
516.6 IPS |
|
|
Machine Translation (F32)
|
100% |
814
15.0 IPS |
|
|
Machine Translation (F16)
|
100% |
775
14.3 IPS |
|
|
Machine Translation (I8)
|
70% |
478
8.80 IPS |
