ASUS System Product Name
Geekbench ML Score
4856
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | gdj9630 |
| Upload Date | May 25 2025 03:41 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z790-PLUS WIFI |
| 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% |
2395
448.1 IPS |
|
|
Image Classification (F16)
|
100% |
2421
453.0 IPS |
|
|
Image Classification (I8)
|
99% |
4479
838.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
2046
34.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2087
34.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
3531
59.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
8505
10.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
8555
10.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
30922
37.4 IPS |
|
|
Object Detection (F32)
|
100% |
2346
175.1 IPS |
|
|
Object Detection (F16)
|
100% |
2299
171.7 IPS |
|
|
Object Detection (I8)
|
62% |
2196
164.0 IPS |
|
|
Face Detection (F32)
|
100% |
4985
59.3 IPS |
|
|
Face Detection (F16)
|
100% |
4668
55.5 IPS |
|
|
Face Detection (I8)
|
89% |
5388
64.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
10148
78.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
10411
80.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
16505
128.0 IPS |
|
|
Style Transfer (F32)
|
100% |
21122
27.8 IPS |
|
|
Style Transfer (F16)
|
100% |
20939
27.5 IPS |
|
|
Style Transfer (I8)
|
98% |
27352
36.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4731
169.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4678
167.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6441
230.0 IPS |
|
|
Text Classification (F32)
|
100% |
1882
2.70 KIPS |
|
|
Text Classification (F16)
|
100% |
1774
2.55 KIPS |
|
|
Text Classification (I8)
|
98% |
1363
1.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
2413
44.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2411
44.4 IPS |
|
|
Machine Translation (I8)
|
67% |
3744
68.9 IPS |
