ASUSTeK COMPUTER INC. ASUS TUF Gaming F16 FX608JM_FX608JM
Geekbench ML Score
13205
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 03 2025 11:55 AM |
| 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 | NVIDIA GeForce RTX 5060 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5954
1.11 KIPS |
|
|
Image Classification (F16)
|
100% |
5891
1.10 KIPS |
|
|
Image Classification (I8)
|
100% |
5390
1.01 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9233
154.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
9397
156.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
8925
149.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
79819
96.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
80433
97.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
73159
88.6 IPS |
|
|
Object Detection (F32)
|
100% |
4969
371.0 IPS |
|
|
Object Detection (F16)
|
100% |
5030
375.5 IPS |
|
|
Object Detection (I8)
|
60% |
4592
342.9 IPS |
|
|
Face Detection (F32)
|
100% |
17541
208.6 IPS |
|
|
Face Detection (F16)
|
100% |
17638
209.7 IPS |
|
|
Face Detection (I8)
|
89% |
15610
185.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
40346
312.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
40821
316.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
34667
268.8 IPS |
|
|
Style Transfer (F32)
|
100% |
123097
161.9 IPS |
|
|
Style Transfer (F16)
|
100% |
122724
161.4 IPS |
|
|
Style Transfer (I8)
|
98% |
107524
141.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
18419
657.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22158
791.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17895
639.1 IPS |
|
|
Text Classification (F32)
|
100% |
2505
3.60 KIPS |
|
|
Text Classification (F16)
|
100% |
2586
3.72 KIPS |
|
|
Text Classification (I8)
|
98% |
1619
2.33 KIPS |
|
|
Machine Translation (F32)
|
100% |
3013
55.4 IPS |
|
|
Machine Translation (F16)
|
100% |
3004
55.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1711
31.5 IPS |
