ASUS System Product Name
Geekbench ML Score
4514
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 21 2024 09:26 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i5-14600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2298
430.1 IPS |
|
|
Image Classification (F16)
|
100% |
2370
443.5 IPS |
|
|
Image Classification (I8)
|
99% |
4350
814.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2176
36.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1978
33.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
3059
51.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
7431
9.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
7593
9.19 IPS |
|
|
Pose Estimation (I8)
|
100% |
25091
30.4 IPS |
|
|
Object Detection (F32)
|
100% |
2343
174.9 IPS |
|
|
Object Detection (F16)
|
100% |
2292
171.1 IPS |
|
|
Object Detection (I8)
|
62% |
2135
159.4 IPS |
|
|
Face Detection (F32)
|
100% |
5432
64.6 IPS |
|
|
Face Detection (F16)
|
100% |
5363
63.8 IPS |
|
|
Face Detection (I8)
|
89% |
5712
67.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
9251
71.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
9256
71.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
17123
132.8 IPS |
|
|
Style Transfer (F32)
|
100% |
18871
24.8 IPS |
|
|
Style Transfer (F16)
|
100% |
19520
25.7 IPS |
|
|
Style Transfer (I8)
|
98% |
31030
40.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3932
140.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3860
137.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5697
203.5 IPS |
|
|
Text Classification (F32)
|
100% |
1858
2.67 KIPS |
|
|
Text Classification (F16)
|
100% |
1932
2.78 KIPS |
|
|
Text Classification (I8)
|
98% |
533
766.6 IPS |
|
|
Machine Translation (F32)
|
100% |
2409
44.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2317
42.6 IPS |
|
|
Machine Translation (I8)
|
67% |
3344
61.5 IPS |
