ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA608PP_FA608PP
Geekbench AI Score
8142
Single Precision Score
8134
Half Precision Score
20885
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 02:12 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 8940HX with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA608PP_FA608PP |
| Motherboard | ASUSTeK COMPUTER INC. FA608PP |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 8940HX with Radeon Graphics |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4745
882.4 IPS |
|
|
Image Classification (HP)
|
100% |
4534
843.2 IPS |
|
|
Image Classification (Q)
|
100% |
12461
2.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6037
97.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5861
95.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
16812
272.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13752
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
13861
16.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
59084
69.2 IPS |
|
|
Object Detection (SP)
|
100% |
5077
402.7 IPS |
|
|
Object Detection (HP)
|
100% |
5183
411.1 IPS |
|
|
Object Detection (Q)
|
88% |
13031
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
10137
120.4 IPS |
|
|
Face Detection (HP)
|
100% |
11365
135.0 IPS |
|
|
Face Detection (Q)
|
100% |
31038
368.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12085
93.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11568
89.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
43062
335.2 IPS |
|
|
Style Transfer (SP)
|
100% |
36025
46.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36252
46.6 IPS |
|
|
Style Transfer (Q)
|
98% |
140665
181.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7683
283.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7587
280.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21781
806.6 IPS |
|
|
Text Classification (SP)
|
100% |
3495
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
3396
4.53 KIPS |
|
|
Text Classification (Q)
|
92% |
4107
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5408
93.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5408
93.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5821
100.3 IPS |
