ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA608PP_FA608PP
Geekbench AI Score
21004
Single Precision Score
37837
Half Precision Score
16444
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 02:04 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Laptop GPU |
| 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% |
9144
1.70 KIPS |
|
|
Image Classification (HP)
|
100% |
15859
2.95 KIPS |
|
|
Image Classification (Q)
|
100% |
8313
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14125
229.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19673
318.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
12992
211.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
117998
137.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
360954
421.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
108759
127.4 IPS |
|
|
Object Detection (SP)
|
100% |
11061
877.3 IPS |
|
|
Object Detection (HP)
|
100% |
19150
1.52 KIPS |
|
|
Object Detection (Q)
|
83% |
9400
759.5 IPS |
|
|
Face Detection (SP)
|
100% |
27713
329.3 IPS |
|
|
Face Detection (HP)
|
100% |
43970
522.5 IPS |
|
|
Face Detection (Q)
|
97% |
23777
283.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
51147
394.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
103550
797.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
40837
325.9 IPS |
|
|
Style Transfer (SP)
|
100% |
165087
212.2 IPS |
|
|
Style Transfer (HP)
|
100% |
549360
706.2 IPS |
|
|
Style Transfer (Q)
|
98% |
144950
186.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30964
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58814
2.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24354
901.8 IPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4163
5.56 KIPS |
|
|
Text Classification (Q)
|
97% |
2202
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3994
68.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4554
78.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1735
32.5 IPS |
