ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507XI_FA507XI
Geekbench AI Score
3440
Single Precision Score
1775
Half Precision Score
5432
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Goku_is_Gei |
| Upload Date | November 30 2024 10:59 PM |
| Views | 1 |
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 | 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1823
339.0 IPS |
|
|
Image Classification (HP)
|
100% |
596
110.9 IPS |
|
|
Image Classification (Q)
|
99% |
5060
943.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1219
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
868
14.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3773
61.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7392
8.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
6332
7.39 IPS |
|
|
Pose Estimation (Q)
|
95% |
26660
31.2 IPS |
|
|
Object Detection (SP)
|
100% |
2366
187.6 IPS |
|
|
Object Detection (HP)
|
100% |
783
62.1 IPS |
|
|
Object Detection (Q)
|
88% |
1825
146.3 IPS |
|
|
Face Detection (SP)
|
100% |
3395
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
1857
22.1 IPS |
|
|
Face Detection (Q)
|
97% |
5638
67.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8356
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2783
21.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
7859
62.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16992
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14854
19.1 IPS |
|
|
Style Transfer (Q)
|
98% |
28872
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2817
104.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2597
95.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3820
141.4 IPS |
|
|
Text Classification (SP)
|
100% |
1943
2.59 KIPS |
|
|
Text Classification (HP)
|
100% |
836
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1920
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2269
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
728
12.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2568
57.3 IPS |
