ASUSTeK COMPUTER INC. TX Gaming FA608PP_FA608PP
Geekbench AI Score
20528
Single Precision Score
38660
Half Precision Score
15949
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | IKUN114514 |
| Upload Date | July 20 2025 09:10 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. TX Gaming 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8564
1.59 KIPS |
|
|
Image Classification (HP)
|
100% |
15628
2.91 KIPS |
|
|
Image Classification (Q)
|
100% |
7846
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15483
251.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22317
361.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13977
227.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
110741
129.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
362128
422.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
103956
121.8 IPS |
|
|
Object Detection (SP)
|
100% |
10466
830.2 IPS |
|
|
Object Detection (HP)
|
100% |
19371
1.54 KIPS |
|
|
Object Detection (Q)
|
83% |
9106
735.7 IPS |
|
|
Face Detection (SP)
|
100% |
26662
316.8 IPS |
|
|
Face Detection (HP)
|
100% |
45223
537.4 IPS |
|
|
Face Detection (Q)
|
97% |
23061
275.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
49511
381.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
106308
819.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
39932
318.7 IPS |
|
|
Style Transfer (SP)
|
100% |
158917
204.3 IPS |
|
|
Style Transfer (HP)
|
100% |
550148
707.2 IPS |
|
|
Style Transfer (Q)
|
98% |
140400
181.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31145
1.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59137
2.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22499
833.1 IPS |
|
|
Text Classification (SP)
|
100% |
3136
4.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4066
5.43 KIPS |
|
|
Text Classification (Q)
|
97% |
2019
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4221
72.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4794
82.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1747
32.8 IPS |
