ASUS System Product Name
Geekbench ML Score
4297
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 14 2024 03:38 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z790-A GAMING WIFI |
| Power Plan | Balanced |
| 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2238
418.7 IPS |
|
|
Image Classification (F16)
|
100% |
2198
411.2 IPS |
|
|
Image Classification (I8)
|
99% |
4165
779.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2003
33.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2049
34.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
2897
48.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
7489
9.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
7309
8.85 IPS |
|
|
Pose Estimation (I8)
|
100% |
24758
30.0 IPS |
|
|
Object Detection (F32)
|
100% |
2219
165.6 IPS |
|
|
Object Detection (F16)
|
100% |
2186
163.2 IPS |
|
|
Object Detection (I8)
|
62% |
2186
163.2 IPS |
|
|
Face Detection (F32)
|
100% |
4770
56.7 IPS |
|
|
Face Detection (F16)
|
100% |
4725
56.2 IPS |
|
|
Face Detection (I8)
|
89% |
5202
61.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
8483
65.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
8438
65.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
15954
123.7 IPS |
|
|
Style Transfer (F32)
|
100% |
18097
23.8 IPS |
|
|
Style Transfer (F16)
|
100% |
17735
23.3 IPS |
|
|
Style Transfer (I8)
|
98% |
27658
36.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3838
137.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3878
138.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5380
192.2 IPS |
|
|
Text Classification (F32)
|
100% |
1812
2.60 KIPS |
|
|
Text Classification (F16)
|
100% |
1844
2.65 KIPS |
|
|
Text Classification (I8)
|
98% |
549
788.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2288
42.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2243
41.3 IPS |
|
|
Machine Translation (I8)
|
67% |
3165
58.2 IPS |
