ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA608PP_FA608PP
Geekbench AI Score
8341
Single Precision Score
8189
Half Precision Score
21017
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 02:09 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% |
4714
876.6 IPS |
|
|
Image Classification (HP)
|
100% |
4849
901.7 IPS |
|
|
Image Classification (Q)
|
100% |
12684
2.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6138
99.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5768
93.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
17424
282.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13731
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
13736
16.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
59436
69.6 IPS |
|
|
Object Detection (SP)
|
100% |
5507
436.8 IPS |
|
|
Object Detection (HP)
|
100% |
5141
407.8 IPS |
|
|
Object Detection (Q)
|
88% |
12520
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
12013
142.7 IPS |
|
|
Face Detection (HP)
|
100% |
11082
131.7 IPS |
|
|
Face Detection (Q)
|
100% |
33316
395.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12088
93.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11644
89.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
42825
333.3 IPS |
|
|
Style Transfer (SP)
|
100% |
35560
45.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36659
47.1 IPS |
|
|
Style Transfer (Q)
|
98% |
140219
180.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7723
285.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7607
280.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21665
802.3 IPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
3476
4.64 KIPS |
|
|
Text Classification (Q)
|
92% |
3871
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
5468
94.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5495
94.7 IPS |
|
|
Machine Translation (Q)
|
100% |
6096
105.0 IPS |
