ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507XI_FA507XI
Geekbench AI Score
3011
Single Precision Score
1402
Half Precision Score
7029
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 12 2025 08:16 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7940HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507XI_FA507XI |
| Motherboard | ASUSTeK COMPUTER INC. FA507XI |
| Power Plan | Performance |
| 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% |
2140
397.9 IPS |
|
|
Image Classification (HP)
|
100% |
534
99.3 IPS |
|
|
Image Classification (Q)
|
99% |
7133
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1366
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
759
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
8898
144.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4304
5.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
3709
4.33 IPS |
|
|
Pose Estimation (Q)
|
94% |
20686
24.3 IPS |
|
|
Object Detection (SP)
|
100% |
2570
203.9 IPS |
|
|
Object Detection (HP)
|
100% |
685
54.3 IPS |
|
|
Object Detection (Q)
|
86% |
6467
519.7 IPS |
|
|
Face Detection (SP)
|
100% |
4284
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
1433
17.0 IPS |
|
|
Face Detection (Q)
|
97% |
9127
108.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5880
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2087
16.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
7220
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12555
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9349
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
21082
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1799
66.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1663
61.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5698
211.0 IPS |
|
|
Text Classification (SP)
|
100% |
1739
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
752
1.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1632
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1919
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
816
14.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2684
53.9 IPS |
