ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA607PV_FA607PV
Geekbench AI Score
18049
Single Precision Score
31057
Half Precision Score
14203
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 05:05 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 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA607PV_FA607PV |
| Motherboard | ASUSTeK COMPUTER INC. FA607PV |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7845HX |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7290
1.36 KIPS |
|
|
Image Classification (HP)
|
99% |
12883
2.40 KIPS |
|
|
Image Classification (Q)
|
99% |
6684
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12870
208.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18545
300.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11603
188.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
84206
98.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
254570
297.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
74846
87.7 IPS |
|
|
Object Detection (SP)
|
100% |
8946
709.6 IPS |
|
|
Object Detection (HP)
|
100% |
16708
1.33 KIPS |
|
|
Object Detection (Q)
|
84% |
7887
636.1 IPS |
|
|
Face Detection (SP)
|
100% |
21992
261.3 IPS |
|
|
Face Detection (HP)
|
100% |
34962
415.4 IPS |
|
|
Face Detection (Q)
|
97% |
19653
234.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
42144
324.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
80983
623.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
34831
278.6 IPS |
|
|
Style Transfer (SP)
|
100% |
143731
184.8 IPS |
|
|
Style Transfer (HP)
|
100% |
351663
452.1 IPS |
|
|
Style Transfer (Q)
|
98% |
126095
162.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28978
1.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49416
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22170
820.9 IPS |
|
|
Text Classification (SP)
|
100% |
3166
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
3711
4.95 KIPS |
|
|
Text Classification (Q)
|
97% |
1963
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4249
73.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4500
77.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1943
36.4 IPS |
