ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop K6502VU_K6502VU
Geekbench ML Score
3050
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 26 2024 06:40 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop K6502VU_K6502VU |
| Motherboard | ASUSTeK COMPUTER INC. K6502VU |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13500H |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1678
314.0 IPS |
|
|
Image Classification (F16)
|
100% |
1607
300.6 IPS |
|
|
Image Classification (I8)
|
99% |
2515
470.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1391
23.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1435
24.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2118
35.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
4795
5.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
4766
5.77 IPS |
|
|
Pose Estimation (I8)
|
100% |
14905
18.0 IPS |
|
|
Object Detection (F32)
|
100% |
1686
125.9 IPS |
|
|
Object Detection (F16)
|
100% |
1667
124.5 IPS |
|
|
Object Detection (I8)
|
62% |
1628
121.6 IPS |
|
|
Face Detection (F32)
|
100% |
2931
34.9 IPS |
|
|
Face Detection (F16)
|
100% |
2959
35.2 IPS |
|
|
Face Detection (I8)
|
89% |
3749
44.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5923
45.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
5895
45.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
11758
91.2 IPS |
|
|
Style Transfer (F32)
|
100% |
11610
15.3 IPS |
|
|
Style Transfer (F16)
|
100% |
11725
15.4 IPS |
|
|
Style Transfer (I8)
|
98% |
18760
24.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2554
91.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2601
92.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4184
149.4 IPS |
|
|
Text Classification (F32)
|
100% |
1443
2.07 KIPS |
|
|
Text Classification (F16)
|
100% |
1439
2.07 KIPS |
|
|
Text Classification (I8)
|
98% |
498
715.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1774
32.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1785
32.9 IPS |
|
|
Machine Translation (I8)
|
67% |
2439
44.9 IPS |
