ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop X1605ZA_X1605ZA
Geekbench AI Score
2404
Single Precision Score
1012
Half Precision Score
4169
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | jhotis12 |
| Upload Date | December 25 2024 06:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12500H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop X1605ZA_X1605ZA |
| Motherboard | ASUSTeK COMPUTER INC. X1605ZA |
| Power Plan | Equilibrado |
| 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 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1823
339.0 IPS |
|
|
Image Classification (HP)
|
100% |
378
70.3 IPS |
|
|
Image Classification (Q)
|
99% |
3419
637.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1200
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
650
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2143
34.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3838
4.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
2566
2.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
11263
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1781
141.3 IPS |
|
|
Object Detection (HP)
|
100% |
466
36.9 IPS |
|
|
Object Detection (Q)
|
86% |
3660
294.2 IPS |
|
|
Face Detection (SP)
|
100% |
3746
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
1073
12.8 IPS |
|
|
Face Detection (Q)
|
97% |
6100
72.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4835
37.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1366
10.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
9079
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8769
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6599
8.48 IPS |
|
|
Style Transfer (Q)
|
98% |
11934
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1758
64.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1330
49.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2744
101.6 IPS |
|
|
Text Classification (SP)
|
100% |
1176
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
548
730.9 IPS |
|
|
Text Classification (Q)
|
97% |
1402
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1314
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
544
9.36 IPS |
|
|
Machine Translation (Q)
|
65% |
2067
41.5 IPS |
