ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA607PV_FA607PV
Geekbench AI Score
7716
Single Precision Score
7713
Half Precision Score
19222
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 05:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7845HX with Radeon Graphics |
| 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% |
4527
841.8 IPS |
|
|
Image Classification (HP)
|
100% |
4557
847.4 IPS |
|
|
Image Classification (Q)
|
100% |
11991
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5665
91.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5856
94.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
15649
253.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11531
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
11593
13.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
45990
53.8 IPS |
|
|
Object Detection (SP)
|
100% |
4897
388.4 IPS |
|
|
Object Detection (HP)
|
100% |
4634
367.5 IPS |
|
|
Object Detection (Q)
|
88% |
12538
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
12137
144.2 IPS |
|
|
Face Detection (HP)
|
100% |
11764
139.8 IPS |
|
|
Face Detection (Q)
|
100% |
30566
363.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11577
89.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11851
91.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
34010
264.7 IPS |
|
|
Style Transfer (SP)
|
100% |
29222
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
30456
39.2 IPS |
|
|
Style Transfer (Q)
|
98% |
110823
142.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6504
240.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6519
240.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19182
710.4 IPS |
|
|
Text Classification (SP)
|
100% |
3413
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
3348
4.47 KIPS |
|
|
Text Classification (Q)
|
92% |
4080
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
5670
97.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5613
96.7 IPS |
|
|
Machine Translation (Q)
|
100% |
7061
121.6 IPS |
