ASUSTeK COMPUTER INC. ASUS TUF Gaming F16 FX608JM_FX608JM
Geekbench AI Score
882
Single Precision Score
927
Half Precision Score
614
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | February 13 2026 09:28 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming F16 FX608JM_FX608JM |
| Motherboard | ASUSTeK COMPUTER INC. FX608JM |
| Power Plan | Performance |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
374
69.6 IPS |
|
|
Image Classification (HP)
|
100% |
378
70.3 IPS |
|
|
Image Classification (Q)
|
100% |
327
60.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
503
8.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
568
9.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
392
6.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
2506
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2742
3.20 IPS |
|
|
Pose Estimation (Q)
|
96% |
1802
2.11 IPS |
|
|
Object Detection (SP)
|
100% |
424
33.6 IPS |
|
|
Object Detection (HP)
|
98% |
360
28.6 IPS |
|
|
Object Detection (Q)
|
86% |
356
28.6 IPS |
|
|
Face Detection (SP)
|
100% |
838
9.96 IPS |
|
|
Face Detection (HP)
|
100% |
889
10.6 IPS |
|
|
Face Detection (Q)
|
97% |
636
7.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1527
11.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
1710
13.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
1152
9.23 IPS |
|
|
Style Transfer (SP)
|
100% |
5083
6.53 IPS |
|
|
Style Transfer (HP)
|
100% |
6937
8.92 IPS |
|
|
Style Transfer (Q)
|
98% |
3899
5.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
909
33.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1246
46.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
492
18.2 IPS |
|
|
Text Classification (SP)
|
100% |
460
614.6 IPS |
|
|
Text Classification (HP)
|
100% |
330
440.5 IPS |
|
|
Text Classification (Q)
|
97% |
253
339.6 IPS |
|
|
Machine Translation (SP)
|
100% |
526
9.07 IPS |
|
|
Machine Translation (HP)
|
100% |
512
8.83 IPS |
|
|
Machine Translation (Q)
|
70% |
261
4.89 IPS |
