ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507XV_FA507XV
Geekbench AI Score
16029
Single Precision Score
27260
Half Precision Score
12418
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 02:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507XV_FA507XV |
| Motherboard | ASUSTeK COMPUTER INC. FA507XV |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6489
1.21 KIPS |
|
|
Image Classification (HP)
|
99% |
10963
2.04 KIPS |
|
|
Image Classification (Q)
|
100% |
5869
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11187
181.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15496
251.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
10194
165.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
83116
97.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
228332
266.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
75050
87.9 IPS |
|
|
Object Detection (SP)
|
100% |
7831
621.1 IPS |
|
|
Object Detection (HP)
|
100% |
13794
1.09 KIPS |
|
|
Object Detection (Q)
|
89% |
6669
533.8 IPS |
|
|
Face Detection (SP)
|
100% |
17817
211.7 IPS |
|
|
Face Detection (HP)
|
100% |
27669
328.8 IPS |
|
|
Face Detection (Q)
|
97% |
14687
175.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
35727
275.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
74323
572.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
29439
236.5 IPS |
|
|
Style Transfer (SP)
|
100% |
135487
174.2 IPS |
|
|
Style Transfer (HP)
|
100% |
348424
447.9 IPS |
|
|
Style Transfer (Q)
|
98% |
122328
157.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27001
997.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44839
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19803
733.3 IPS |
|
|
Text Classification (SP)
|
100% |
2928
3.91 KIPS |
|
|
Text Classification (HP)
|
99% |
3537
4.72 KIPS |
|
|
Text Classification (Q)
|
97% |
1845
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3477
59.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3728
64.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1507
33.6 IPS |
