ASUSTeK COMPUTER INC. ASUS TUF Gaming A17 FA707NUR_FA707NUR
Geekbench AI Score
2132
Single Precision Score
1011
Half Precision Score
3497
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 02 2025 04:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7435HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A17 FA707NUR_FA707NUR |
| Motherboard | ASUSTeK COMPUTER INC. FA707NUR |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7435HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1642
305.3 IPS |
|
|
Image Classification (HP)
|
100% |
387
72.0 IPS |
|
|
Image Classification (Q)
|
96% |
2932
547.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
644
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
401
6.50 IPS |
|
|
Image Segmentation (Q)
|
97% |
3145
51.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3751
4.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
3227
3.76 IPS |
|
|
Pose Estimation (Q)
|
86% |
7882
9.32 IPS |
|
|
Object Detection (SP)
|
100% |
1684
133.6 IPS |
|
|
Object Detection (HP)
|
100% |
487
38.6 IPS |
|
|
Object Detection (Q)
|
58% |
2199
240.2 IPS |
|
|
Face Detection (SP)
|
100% |
3319
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
944
11.2 IPS |
|
|
Face Detection (Q)
|
96% |
4417
52.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4741
36.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1502
11.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
6974
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9659
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7913
10.2 IPS |
|
|
Style Transfer (Q)
|
87% |
11531
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1412
52.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1232
45.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2908
107.8 IPS |
|
|
Text Classification (SP)
|
100% |
1265
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
577
770.4 IPS |
|
|
Text Classification (Q)
|
97% |
1009
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1073
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
578
9.96 IPS |
|
|
Machine Translation (Q)
|
68% |
1646
31.8 IPS |
