ASUS System Product Name
Geekbench ML Score
446
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows x86 (64-bit)
Result Information
| Upload Date | September 07 2025 12:25 AM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME H510M-E |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Pentium Gold G6405 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 2 Cores |
| L1 Instruction Cache | 32.0 KB x 2 |
| L1 Data Cache | 32.0 KB x 2 |
| L2 Cache | 256 KB x 2 |
| L3 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
214
40.1 IPS |
|
|
Image Classification (F16)
|
100% |
217
40.7 IPS |
|
|
Image Classification (I8)
|
96% |
441
82.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
229
3.82 IPS |
|
|
Image Segmentation (F16)
|
100% |
237
3.96 IPS |
|
|
Image Segmentation (I8)
|
97% |
431
7.21 IPS |
|
|
Pose Estimation (F32)
|
100% |
367
0.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
386
0.47 IPS |
|
|
Pose Estimation (I8)
|
100% |
1043
1.26 IPS |
|
|
Object Detection (F32)
|
100% |
230
17.1 IPS |
|
|
Object Detection (F16)
|
100% |
224
16.7 IPS |
|
|
Object Detection (I8)
|
62% |
325
24.2 IPS |
|
|
Face Detection (F32)
|
100% |
605
7.20 IPS |
|
|
Face Detection (F16)
|
100% |
593
7.05 IPS |
|
|
Face Detection (I8)
|
87% |
927
11.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
546
4.23 IPS |
|
|
Depth Estimation (F16)
|
100% |
557
4.32 IPS |
|
|
Depth Estimation (I8)
|
74% |
1193
9.25 IPS |
|
|
Style Transfer (F32)
|
100% |
1068
1.41 IPS |
|
|
Style Transfer (F16)
|
100% |
1088
1.43 IPS |
|
|
Style Transfer (I8)
|
85% |
2043
2.69 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
263
9.38 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
272
9.70 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
632
22.6 IPS |
|
|
Text Classification (F32)
|
100% |
263
377.3 IPS |
|
|
Text Classification (F16)
|
100% |
273
392.0 IPS |
|
|
Text Classification (I8)
|
94% |
280
402.1 IPS |
|
|
Machine Translation (F32)
|
100% |
480
8.84 IPS |
|
|
Machine Translation (F16)
|
100% |
473
8.70 IPS |
|
|
Machine Translation (I8)
|
67% |
458
8.44 IPS |
