ASUS System Product Name
Geekbench ML Score
4355
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 21 2024 02:59 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z790-P |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| 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% |
2221
415.5 IPS |
|
|
Image Classification (F16)
|
100% |
2177
407.5 IPS |
|
|
Image Classification (I8)
|
99% |
4061
760.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2032
33.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1966
32.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
3192
53.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
7004
8.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
7001
8.48 IPS |
|
|
Pose Estimation (I8)
|
100% |
24645
29.8 IPS |
|
|
Object Detection (F32)
|
100% |
2161
161.3 IPS |
|
|
Object Detection (F16)
|
100% |
2205
164.6 IPS |
|
|
Object Detection (I8)
|
62% |
2003
149.5 IPS |
|
|
Face Detection (F32)
|
100% |
4612
54.8 IPS |
|
|
Face Detection (F16)
|
100% |
4621
54.9 IPS |
|
|
Face Detection (I8)
|
89% |
5117
60.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
8316
64.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
7866
61.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
15650
121.4 IPS |
|
|
Style Transfer (F32)
|
100% |
17545
23.1 IPS |
|
|
Style Transfer (F16)
|
100% |
17652
23.2 IPS |
|
|
Style Transfer (I8)
|
98% |
26628
35.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3634
129.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3639
130.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5858
209.2 IPS |
|
|
Text Classification (F32)
|
100% |
1696
2.44 KIPS |
|
|
Text Classification (F16)
|
100% |
1702
2.45 KIPS |
|
|
Text Classification (I8)
|
98% |
1441
2.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
2228
41.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2238
41.2 IPS |
|
|
Machine Translation (I8)
|
67% |
3467
63.8 IPS |
