ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop K3704VA_K3704VA
Geekbench AI Score
2209
Single Precision Score
1134
Half Precision Score
2895
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | gMaX |
| Upload Date | November 27 2024 05:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13500H |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop K3704VA_K3704VA |
| Motherboard | ASUSTeK COMPUTER INC. K3704VA |
| 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 |
| Memory Information | |
|---|---|
| Size | 40.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1354
251.9 IPS |
|
|
Image Classification (HP)
|
100% |
437
81.3 IPS |
|
|
Image Classification (Q)
|
99% |
2772
516.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1276
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
866
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2198
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4584
5.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
3123
3.64 IPS |
|
|
Pose Estimation (Q)
|
95% |
13014
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1417
112.4 IPS |
|
|
Object Detection (HP)
|
100% |
512
40.6 IPS |
|
|
Object Detection (Q)
|
88% |
1456
116.7 IPS |
|
|
Face Detection (SP)
|
100% |
1658
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
1053
12.5 IPS |
|
|
Face Detection (Q)
|
97% |
2565
30.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4524
34.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1625
12.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
4951
39.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9616
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7598
9.77 IPS |
|
|
Style Transfer (Q)
|
98% |
10438
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1895
70.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1511
55.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2909
107.7 IPS |
|
|
Text Classification (SP)
|
100% |
1347
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
553
738.0 IPS |
|
|
Text Classification (Q)
|
97% |
535
716.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1343
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
538
9.26 IPS |
|
|
Machine Translation (Q)
|
60% |
1742
38.9 IPS |
