ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506ICB_FA506ICB
Geekbench AI Score
1748
Single Precision Score
985
Half Precision Score
1849
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 07:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 4800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506ICB_FA506ICB |
| Motherboard | ASUSTeK COMPUTER INC. FA506ICB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 4800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1120
208.3 IPS |
|
|
Image Classification (HP)
|
100% |
375
69.8 IPS |
|
|
Image Classification (Q)
|
96% |
1395
260.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
454
7.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
457
7.41 IPS |
|
|
Image Segmentation (Q)
|
97% |
1431
23.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3939
4.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
3726
4.35 IPS |
|
|
Pose Estimation (Q)
|
87% |
6232
7.36 IPS |
|
|
Object Detection (SP)
|
100% |
1188
94.2 IPS |
|
|
Object Detection (HP)
|
100% |
461
36.5 IPS |
|
|
Object Detection (Q)
|
86% |
1013
81.5 IPS |
|
|
Face Detection (SP)
|
100% |
1188
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
823
9.78 IPS |
|
|
Face Detection (Q)
|
96% |
2231
26.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4361
33.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1584
12.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
3277
26.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10401
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9116
11.7 IPS |
|
|
Style Transfer (Q)
|
87% |
8632
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1610
59.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1185
43.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1550
57.4 IPS |
|
|
Text Classification (SP)
|
100% |
1159
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
448
597.7 IPS |
|
|
Text Classification (Q)
|
97% |
365
488.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1115
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
464
7.99 IPS |
|
|
Machine Translation (Q)
|
60% |
1043
23.3 IPS |
