ASUS System Product Name
Geekbench ML Score
5023
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 15 2024 12:47 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z790-F GAMING WIFI |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700KF |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 14 |
| L1 Data Cache | 48.0 KB x 14 |
| L2 Cache | 2.00 MB x 3 |
| L3 Cache | 33.0 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% |
2710
507.2 IPS |
|
|
Image Classification (F16)
|
100% |
2663
498.3 IPS |
|
|
Image Classification (I8)
|
99% |
4591
859.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
2270
37.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2288
38.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
3252
54.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
9881
12.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
9799
11.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
33664
40.8 IPS |
|
|
Object Detection (F32)
|
100% |
2730
203.8 IPS |
|
|
Object Detection (F16)
|
100% |
2531
188.9 IPS |
|
|
Object Detection (I8)
|
62% |
2292
171.1 IPS |
|
|
Face Detection (F32)
|
100% |
5569
66.2 IPS |
|
|
Face Detection (F16)
|
100% |
5652
67.2 IPS |
|
|
Face Detection (I8)
|
89% |
5668
67.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
10509
81.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
10738
83.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
18498
143.5 IPS |
|
|
Style Transfer (F32)
|
100% |
24645
32.4 IPS |
|
|
Style Transfer (F16)
|
100% |
23866
31.4 IPS |
|
|
Style Transfer (I8)
|
98% |
31954
42.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4399
157.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4424
158.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6628
236.7 IPS |
|
|
Text Classification (F32)
|
100% |
1849
2.66 KIPS |
|
|
Text Classification (F16)
|
100% |
1831
2.63 KIPS |
|
|
Text Classification (I8)
|
98% |
578
830.3 IPS |
|
|
Machine Translation (F32)
|
100% |
2484
45.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2533
46.6 IPS |
|
|
Machine Translation (I8)
|
67% |
3347
61.6 IPS |
