ASUS System Product Name
Geekbench ML Score
5724
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 08 2024 05:56 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 MAXIMUS Z790 APEX ENCORE |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 2.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2889
540.5 IPS |
|
|
Image Classification (F16)
|
100% |
2986
558.8 IPS |
|
|
Image Classification (I8)
|
99% |
4834
904.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2541
42.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2611
43.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
3853
64.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
11842
14.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
11740
14.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
41045
49.7 IPS |
|
|
Object Detection (F32)
|
100% |
2997
223.7 IPS |
|
|
Object Detection (F16)
|
100% |
2829
211.2 IPS |
|
|
Object Detection (I8)
|
62% |
2391
178.5 IPS |
|
|
Face Detection (F32)
|
100% |
6610
78.6 IPS |
|
|
Face Detection (F16)
|
100% |
6719
79.9 IPS |
|
|
Face Detection (I8)
|
89% |
6485
77.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
12576
97.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
12883
99.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
22067
171.1 IPS |
|
|
Style Transfer (F32)
|
100% |
28844
37.9 IPS |
|
|
Style Transfer (F16)
|
100% |
29440
38.7 IPS |
|
|
Style Transfer (I8)
|
98% |
37000
48.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5373
191.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5481
195.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7344
262.3 IPS |
|
|
Text Classification (F32)
|
100% |
2029
2.92 KIPS |
|
|
Text Classification (F16)
|
100% |
1909
2.74 KIPS |
|
|
Text Classification (I8)
|
98% |
582
836.1 IPS |
|
|
Machine Translation (F32)
|
100% |
2743
50.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2615
48.1 IPS |
|
|
Machine Translation (I8)
|
67% |
3859
71.0 IPS |
