ASUS System Product Name
Geekbench ML Score
4104
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 01 2024 08:00 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z690-A |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
2099
392.8 IPS |
|
|
Image Classification (F16)
|
100% |
2133
399.1 IPS |
|
|
Image Classification (I8)
|
99% |
3953
739.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1935
32.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1949
32.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2834
47.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6815
8.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
6613
8.01 IPS |
|
|
Pose Estimation (I8)
|
100% |
22788
27.6 IPS |
|
|
Object Detection (F32)
|
100% |
2057
153.5 IPS |
|
|
Object Detection (F16)
|
100% |
2118
158.1 IPS |
|
|
Object Detection (I8)
|
62% |
1634
122.0 IPS |
|
|
Face Detection (F32)
|
100% |
4465
53.1 IPS |
|
|
Face Detection (F16)
|
100% |
4413
52.5 IPS |
|
|
Face Detection (I8)
|
89% |
4824
57.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
8048
62.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8396
65.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
14945
115.9 IPS |
|
|
Style Transfer (F32)
|
100% |
17987
23.7 IPS |
|
|
Style Transfer (F16)
|
100% |
17952
23.6 IPS |
|
|
Style Transfer (I8)
|
98% |
26220
34.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3724
133.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3754
134.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5815
207.7 IPS |
|
|
Text Classification (F32)
|
100% |
1762
2.53 KIPS |
|
|
Text Classification (F16)
|
100% |
1731
2.49 KIPS |
|
|
Text Classification (I8)
|
98% |
519
745.4 IPS |
|
|
Machine Translation (F32)
|
100% |
2323
42.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2312
42.6 IPS |
|
|
Machine Translation (I8)
|
67% |
3229
59.4 IPS |
