ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506IV_FA506IV
Geekbench AI Score
2228
Single Precision Score
1056
Half Precision Score
3007
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Hasan5002 |
| Upload Date | February 07 2026 02:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 4800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506IV_FA506IV |
| Motherboard | ASUSTeK COMPUTER INC. FA506IV |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1981
368.3 IPS |
|
|
Image Classification (HP)
|
100% |
407
75.6 IPS |
|
|
Image Classification (Q)
|
96% |
2406
449.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
577
9.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
466
7.55 IPS |
|
|
Image Segmentation (Q)
|
97% |
3295
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4100
4.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3367
3.93 IPS |
|
|
Pose Estimation (Q)
|
86% |
5440
6.43 IPS |
|
|
Object Detection (SP)
|
100% |
1717
136.2 IPS |
|
|
Object Detection (HP)
|
100% |
503
39.9 IPS |
|
|
Object Detection (Q)
|
58% |
1753
191.5 IPS |
|
|
Face Detection (SP)
|
100% |
3234
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
1020
12.1 IPS |
|
|
Face Detection (Q)
|
96% |
5092
60.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5195
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1592
12.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
5689
45.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8725
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
7528
9.68 IPS |
|
|
Style Transfer (Q)
|
87% |
9842
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1545
57.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1331
49.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2095
77.6 IPS |
|
|
Text Classification (SP)
|
100% |
1272
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
548
731.7 IPS |
|
|
Text Classification (Q)
|
97% |
906
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1305
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
604
10.4 IPS |
|
|
Machine Translation (Q)
|
68% |
1479
28.6 IPS |
