ASUSTeK COMPUTER INC. ASUS TUF Gaming F16 FX608JH_FX608JH
Geekbench AI Score
2868
Single Precision Score
1269
Half Precision Score
5541
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 07 2025 02:57 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13450HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming F16 FX608JH_FX608JH |
| Motherboard | ASUSTeK COMPUTER INC. FX608JH |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13450HX |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2511
467.0 IPS |
|
|
Image Classification (HP)
|
100% |
491
91.2 IPS |
|
|
Image Classification (Q)
|
99% |
5116
954.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1283
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
725
11.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5930
96.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4474
5.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
3341
3.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
15395
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2120
168.1 IPS |
|
|
Object Detection (HP)
|
100% |
655
52.0 IPS |
|
|
Object Detection (Q)
|
86% |
4724
379.7 IPS |
|
|
Face Detection (SP)
|
100% |
4406
52.4 IPS |
|
|
Face Detection (HP)
|
100% |
1228
14.6 IPS |
|
|
Face Detection (Q)
|
97% |
6885
82.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5900
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1795
13.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
11410
91.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11027
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8105
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
14363
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2037
75.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1628
60.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4334
160.5 IPS |
|
|
Text Classification (SP)
|
100% |
1436
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
697
930.2 IPS |
|
|
Text Classification (Q)
|
97% |
1258
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1472
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
686
11.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2012
40.4 IPS |
