ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507XV_FA507XV
Geekbench AI Score
17315
Single Precision Score
29216
Half Precision Score
13676
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 19 2025 10:39 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507XV_FA507XV |
| Motherboard | ASUSTeK COMPUTER INC. FA507XV |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7027
1.31 KIPS |
|
|
Image Classification (HP)
|
99% |
11903
2.22 KIPS |
|
|
Image Classification (Q)
|
99% |
6448
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12826
207.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18019
292.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11398
185.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
84428
98.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
238125
277.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
77835
91.2 IPS |
|
|
Object Detection (SP)
|
100% |
8673
687.9 IPS |
|
|
Object Detection (HP)
|
100% |
15726
1.25 KIPS |
|
|
Object Detection (Q)
|
84% |
7668
618.5 IPS |
|
|
Face Detection (SP)
|
100% |
21060
250.2 IPS |
|
|
Face Detection (HP)
|
100% |
33485
397.9 IPS |
|
|
Face Detection (Q)
|
97% |
17923
213.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
40482
311.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
78141
602.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
32185
257.5 IPS |
|
|
Style Transfer (SP)
|
100% |
132701
170.6 IPS |
|
|
Style Transfer (HP)
|
100% |
344668
443.1 IPS |
|
|
Style Transfer (Q)
|
98% |
123386
159.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27962
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45768
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21517
796.7 IPS |
|
|
Text Classification (SP)
|
100% |
2856
3.81 KIPS |
|
|
Text Classification (HP)
|
99% |
3232
4.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1834
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4063
70.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4230
72.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1859
34.9 IPS |
