ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop X1605ZA_F1605ZA
Geekbench ML Score
2226
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 05 2026 05:37 PM |
| Views | 5 |
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% |
1046
195.7 IPS |
|
|
Image Classification (F16)
|
100% |
1050
196.5 IPS |
|
|
Image Classification (I8)
|
99% |
2180
407.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1049
17.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1007
16.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2227
37.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
2929
3.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
3263
3.95 IPS |
|
|
Pose Estimation (I8)
|
100% |
9948
12.0 IPS |
|
|
Object Detection (F32)
|
100% |
1254
93.6 IPS |
|
|
Object Detection (F16)
|
100% |
1203
89.8 IPS |
|
|
Object Detection (I8)
|
62% |
1182
88.3 IPS |
|
|
Face Detection (F32)
|
100% |
1762
21.0 IPS |
|
|
Face Detection (F16)
|
100% |
1741
20.7 IPS |
|
|
Face Detection (I8)
|
89% |
2895
34.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
3764
29.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
3943
30.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
8229
63.8 IPS |
|
|
Style Transfer (F32)
|
100% |
7608
10.0 IPS |
|
|
Style Transfer (F16)
|
100% |
7771
10.2 IPS |
|
|
Style Transfer (I8)
|
98% |
11555
15.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1645
58.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1781
63.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3071
109.7 IPS |
|
|
Text Classification (F32)
|
100% |
1082
1.55 KIPS |
|
|
Text Classification (F16)
|
100% |
1068
1.53 KIPS |
|
|
Text Classification (I8)
|
98% |
1009
1.45 KIPS |
|
|
Machine Translation (F32)
|
100% |
1305
24.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1353
24.9 IPS |
|
|
Machine Translation (I8)
|
67% |
2053
37.8 IPS |
