ASUSTeK COMPUTER INC. ASUS TUF Gaming F16 FX608JM_FX608JM
Geekbench ML Score
3027
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 03 2025 11:53 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1578
295.3 IPS |
|
|
Image Classification (F16)
|
100% |
1576
294.8 IPS |
|
|
Image Classification (I8)
|
99% |
2973
556.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1203
20.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1262
21.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2610
43.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
5558
6.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
5084
6.16 IPS |
|
|
Pose Estimation (I8)
|
100% |
18114
21.9 IPS |
|
|
Object Detection (F32)
|
100% |
1641
122.5 IPS |
|
|
Object Detection (F16)
|
100% |
1577
117.7 IPS |
|
|
Object Detection (I8)
|
62% |
1579
117.9 IPS |
|
|
Face Detection (F32)
|
100% |
2348
27.9 IPS |
|
|
Face Detection (F16)
|
100% |
2340
27.8 IPS |
|
|
Face Detection (I8)
|
89% |
3232
38.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5832
45.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
5442
42.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
10945
84.9 IPS |
|
|
Style Transfer (F32)
|
100% |
12252
16.1 IPS |
|
|
Style Transfer (F16)
|
100% |
12205
16.1 IPS |
|
|
Style Transfer (I8)
|
98% |
15332
20.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2558
91.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2629
93.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3736
133.4 IPS |
|
|
Text Classification (F32)
|
100% |
1444
2.07 KIPS |
|
|
Text Classification (F16)
|
100% |
1372
1.97 KIPS |
|
|
Text Classification (I8)
|
98% |
1149
1.65 KIPS |
|
|
Machine Translation (F32)
|
100% |
1533
28.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1526
28.1 IPS |
|
|
Machine Translation (I8)
|
67% |
2344
43.1 IPS |
