ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507XV_FA507XV
Geekbench AI Score
3544
Single Precision Score
1648
Half Precision Score
7097
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 19 2025 10:37 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7940HS |
| 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% |
2873
534.3 IPS |
|
|
Image Classification (HP)
|
100% |
620
115.3 IPS |
|
|
Image Classification (Q)
|
99% |
8233
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1168
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
826
13.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3767
61.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5617
6.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
4961
5.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
24665
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
2870
227.7 IPS |
|
|
Object Detection (HP)
|
100% |
767
60.8 IPS |
|
|
Object Detection (Q)
|
86% |
8130
653.4 IPS |
|
|
Face Detection (SP)
|
100% |
4934
58.6 IPS |
|
|
Face Detection (HP)
|
100% |
1654
19.7 IPS |
|
|
Face Detection (Q)
|
97% |
10936
130.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7875
60.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2609
20.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
8162
65.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14565
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12463
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
23972
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2331
86.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2142
79.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3424
126.8 IPS |
|
|
Text Classification (SP)
|
100% |
1893
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
816
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1938
2.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2316
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
808
13.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3674
73.8 IPS |
