ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506NFR_TUF506NFR
Geekbench AI Score
1912
Single Precision Score
1051
Half Precision Score
2387
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | aeonsim |
| Upload Date | November 18 2024 06:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7435HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506NFR_TUF506NFR |
| Motherboard | ASUSTeK COMPUTER INC. FA506NFR |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7435HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1197
222.6 IPS |
|
|
Image Classification (HP)
|
100% |
391
72.7 IPS |
|
|
Image Classification (Q)
|
96% |
2167
404.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
530
8.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
406
6.58 IPS |
|
|
Image Segmentation (Q)
|
97% |
1708
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3725
4.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
3257
3.80 IPS |
|
|
Pose Estimation (Q)
|
87% |
9456
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1273
101.0 IPS |
|
|
Object Detection (HP)
|
100% |
491
38.9 IPS |
|
|
Object Detection (Q)
|
86% |
1311
105.4 IPS |
|
|
Face Detection (SP)
|
100% |
1565
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
952
11.3 IPS |
|
|
Face Detection (Q)
|
96% |
2535
30.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4284
33.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1565
12.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
4046
32.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9384
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9047
11.6 IPS |
|
|
Style Transfer (Q)
|
87% |
11248
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1598
59.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1493
55.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2254
83.5 IPS |
|
|
Text Classification (SP)
|
100% |
1661
2.22 KIPS |
|
|
Text Classification (HP)
|
100% |
653
871.1 IPS |
|
|
Text Classification (Q)
|
97% |
385
516.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1304
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
496
8.55 IPS |
|
|
Machine Translation (Q)
|
60% |
1308
29.2 IPS |
