ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507XV_Direct ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507XV_FA507XV
Geekbench AI Score
17162
Single Precision Score
28931
Half Precision Score
13591
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tatianyi |
| Upload Date | April 23 2025 04:47 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (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 7940H w/ Radeon 780M Graphics |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6759
1.26 KIPS |
|
|
Image Classification (HP)
|
99% |
11695
2.18 KIPS |
|
|
Image Classification (Q)
|
99% |
6221
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12630
204.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
17919
290.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
11333
184.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
88988
103.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
240506
280.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
78627
92.1 IPS |
|
|
Object Detection (SP)
|
100% |
8481
672.7 IPS |
|
|
Object Detection (HP)
|
100% |
15356
1.22 KIPS |
|
|
Object Detection (Q)
|
84% |
7411
597.8 IPS |
|
|
Face Detection (SP)
|
100% |
20698
245.9 IPS |
|
|
Face Detection (HP)
|
100% |
33145
393.8 IPS |
|
|
Face Detection (Q)
|
97% |
18822
224.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
40361
311.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
76821
591.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
33481
267.8 IPS |
|
|
Style Transfer (SP)
|
100% |
136996
176.1 IPS |
|
|
Style Transfer (HP)
|
100% |
337150
433.4 IPS |
|
|
Style Transfer (Q)
|
98% |
122608
158.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26653
984.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43891
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20511
759.5 IPS |
|
|
Text Classification (SP)
|
100% |
2820
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
3236
4.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1755
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4001
68.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4354
75.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1883
35.3 IPS |
