ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507XV_FA507XV
Geekbench AI Score
9249
Single Precision Score
16958
Half Precision Score
7177
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Haitao |
| Upload Date | October 27 2025 02:42 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| 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 | Balanced |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3659
680.5 IPS |
|
|
Image Classification (HP)
|
99% |
7461
1.39 KIPS |
|
|
Image Classification (Q)
|
99% |
3337
622.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7151
115.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11066
179.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
6570
106.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
43185
50.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
114551
133.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
39138
45.9 IPS |
|
|
Object Detection (SP)
|
100% |
4434
351.7 IPS |
|
|
Object Detection (HP)
|
100% |
9963
790.2 IPS |
|
|
Object Detection (Q)
|
84% |
3910
315.4 IPS |
|
|
Face Detection (SP)
|
100% |
12083
143.6 IPS |
|
|
Face Detection (HP)
|
100% |
19840
235.7 IPS |
|
|
Face Detection (Q)
|
97% |
10884
129.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17965
138.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
40509
313.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
15028
120.5 IPS |
|
|
Style Transfer (SP)
|
100% |
64995
83.6 IPS |
|
|
Style Transfer (HP)
|
100% |
171053
219.9 IPS |
|
|
Style Transfer (Q)
|
98% |
58729
75.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14244
526.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24551
906.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10350
383.2 IPS |
|
|
Text Classification (SP)
|
100% |
1724
2.30 KIPS |
|
|
Text Classification (HP)
|
99% |
2136
2.85 KIPS |
|
|
Text Classification (Q)
|
97% |
1017
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2640
45.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2896
49.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1069
20.0 IPS |
