ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop M3400QA_M3400QA
Geekbench AI Score
1532
Single Precision Score
824
Half Precision Score
2218
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 23 2024 09:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop M3400QA_M3400QA |
| Motherboard | ASUSTeK COMPUTER INC. M3400QA |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
987
183.5 IPS |
|
|
Image Classification (HP)
|
100% |
326
60.5 IPS |
|
|
Image Classification (Q)
|
96% |
1988
371.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
808
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
484
7.85 IPS |
|
|
Image Segmentation (Q)
|
97% |
1796
29.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2550
2.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2337
2.73 IPS |
|
|
Pose Estimation (Q)
|
87% |
6549
7.74 IPS |
|
|
Object Detection (SP)
|
100% |
1044
82.8 IPS |
|
|
Object Detection (HP)
|
100% |
352
27.9 IPS |
|
|
Object Detection (Q)
|
86% |
991
79.6 IPS |
|
|
Face Detection (SP)
|
100% |
1102
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
726
8.62 IPS |
|
|
Face Detection (Q)
|
96% |
2143
25.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2893
22.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1156
8.91 IPS |
|
|
Depth Estimation (Q)
|
77% |
3052
24.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6515
8.37 IPS |
|
|
Style Transfer (HP)
|
100% |
5831
7.50 IPS |
|
|
Style Transfer (Q)
|
87% |
8524
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1226
45.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1100
40.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1848
68.5 IPS |
|
|
Text Classification (SP)
|
100% |
1188
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
496
662.3 IPS |
|
|
Text Classification (Q)
|
97% |
1027
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1116
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
420
7.23 IPS |
|
|
Machine Translation (Q)
|
60% |
1176
26.2 IPS |
