ASUSTeK COMPUTER INC. ASUS TUF Gaming F16 FX608JM_FX608JM
Geekbench ML Score
742
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 03 2025 12:01 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming F16 FX608JM_FX608JM |
| Motherboard | ASUSTeK COMPUTER INC. FX608JM |
| 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 |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 20.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
340
63.5 IPS |
|
|
Image Classification (F16)
|
100% |
340
63.7 IPS |
|
|
Image Classification (I8)
|
100% |
275
51.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
481
8.04 IPS |
|
|
Image Segmentation (F16)
|
100% |
480
8.02 IPS |
|
|
Image Segmentation (I8)
|
98% |
375
6.26 IPS |
|
|
Pose Estimation (F32)
|
100% |
2461
2.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
2466
2.99 IPS |
|
|
Pose Estimation (I8)
|
100% |
1742
2.11 IPS |
|
|
Object Detection (F32)
|
100% |
397
29.6 IPS |
|
|
Object Detection (F16)
|
100% |
402
30.0 IPS |
|
|
Object Detection (I8)
|
54% |
319
23.8 IPS |
|
|
Face Detection (F32)
|
100% |
713
8.48 IPS |
|
|
Face Detection (F16)
|
100% |
711
8.46 IPS |
|
|
Face Detection (I8)
|
89% |
517
6.14 IPS |
|
|
Depth Estimation (F32)
|
100% |
1458
11.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
1458
11.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
1138
8.83 IPS |
|
|
Style Transfer (F32)
|
100% |
4962
6.53 IPS |
|
|
Style Transfer (F16)
|
100% |
4969
6.54 IPS |
|
|
Style Transfer (I8)
|
98% |
3847
5.06 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
902
32.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
898
32.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
509
18.2 IPS |
|
|
Text Classification (F32)
|
100% |
468
672.8 IPS |
|
|
Text Classification (F16)
|
100% |
471
677.3 IPS |
|
|
Text Classification (I8)
|
98% |
242
347.9 IPS |
|
|
Machine Translation (F32)
|
100% |
493
9.08 IPS |
|
|
Machine Translation (F16)
|
100% |
492
9.06 IPS |
|
|
Machine Translation (I8)
|
70% |
274
5.05 IPS |
