ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop X1605ZA_F1605ZA
Geekbench ML Score
2200
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 04 2025 05:33 PM |
| Views | 7 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
958
179.3 IPS |
|
|
Image Classification (F16)
|
100% |
1069
200.0 IPS |
|
|
Image Classification (I8)
|
99% |
2093
391.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
979
16.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
954
15.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2280
38.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
3266
3.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
3289
3.98 IPS |
|
|
Pose Estimation (I8)
|
100% |
9552
11.6 IPS |
|
|
Object Detection (F32)
|
100% |
1227
91.6 IPS |
|
|
Object Detection (F16)
|
100% |
1144
85.4 IPS |
|
|
Object Detection (I8)
|
62% |
1246
93.0 IPS |
|
|
Face Detection (F32)
|
100% |
1740
20.7 IPS |
|
|
Face Detection (F16)
|
100% |
1698
20.2 IPS |
|
|
Face Detection (I8)
|
89% |
2853
33.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
3906
30.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
3899
30.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
7618
59.1 IPS |
|
|
Style Transfer (F32)
|
100% |
7992
10.5 IPS |
|
|
Style Transfer (F16)
|
100% |
7561
9.95 IPS |
|
|
Style Transfer (I8)
|
98% |
11899
15.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1578
56.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1687
60.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3088
110.3 IPS |
|
|
Text Classification (F32)
|
100% |
1049
1.51 KIPS |
|
|
Text Classification (F16)
|
100% |
1065
1.53 KIPS |
|
|
Text Classification (I8)
|
98% |
1009
1.45 KIPS |
|
|
Machine Translation (F32)
|
100% |
1312
24.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1339
24.6 IPS |
|
|
Machine Translation (I8)
|
67% |
2016
37.1 IPS |
