ASUS System Product Name
Geekbench ML Score
4505
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 11:54 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z690-A GAMING WIFI D4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 2.00 MB x 3 |
| L3 Cache | 30.0 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% |
2594
485.4 IPS |
|
|
Image Classification (F16)
|
100% |
2569
480.8 IPS |
|
|
Image Classification (I8)
|
99% |
4673
874.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2149
35.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2146
35.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2969
49.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
8532
10.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
9029
10.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
28626
34.7 IPS |
|
|
Object Detection (F32)
|
100% |
2221
165.8 IPS |
|
|
Object Detection (F16)
|
100% |
2212
165.2 IPS |
|
|
Object Detection (I8)
|
62% |
2195
163.9 IPS |
|
|
Face Detection (F32)
|
100% |
3960
47.1 IPS |
|
|
Face Detection (F16)
|
100% |
3892
46.3 IPS |
|
|
Face Detection (I8)
|
89% |
4604
54.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
9299
72.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
9468
73.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
17047
132.2 IPS |
|
|
Style Transfer (F32)
|
100% |
20732
27.3 IPS |
|
|
Style Transfer (F16)
|
100% |
21078
27.7 IPS |
|
|
Style Transfer (I8)
|
98% |
22928
30.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4362
155.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4460
159.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6042
215.8 IPS |
|
|
Text Classification (F32)
|
100% |
1802
2.59 KIPS |
|
|
Text Classification (F16)
|
100% |
1832
2.63 KIPS |
|
|
Text Classification (I8)
|
98% |
514
738.9 IPS |
|
|
Machine Translation (F32)
|
100% |
2370
43.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2391
44.0 IPS |
|
|
Machine Translation (I8)
|
67% |
3341
61.5 IPS |
