ASUS System Product Name
Geekbench ML Score
5510
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 14 2024 11:03 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 MAXIMUS Z790 DARK HERO |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2780
520.3 IPS |
|
|
Image Classification (F16)
|
100% |
2721
509.1 IPS |
|
|
Image Classification (I8)
|
99% |
4571
855.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2304
38.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2361
39.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
4004
66.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
11326
13.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
11281
13.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
37992
46.0 IPS |
|
|
Object Detection (F32)
|
100% |
2749
205.3 IPS |
|
|
Object Detection (F16)
|
100% |
2811
209.9 IPS |
|
|
Object Detection (I8)
|
62% |
2474
184.7 IPS |
|
|
Face Detection (F32)
|
100% |
5357
63.7 IPS |
|
|
Face Detection (F16)
|
100% |
5415
64.4 IPS |
|
|
Face Detection (I8)
|
89% |
5838
69.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
11907
92.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
11675
90.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
19443
150.8 IPS |
|
|
Style Transfer (F32)
|
100% |
27511
36.2 IPS |
|
|
Style Transfer (F16)
|
100% |
28099
37.0 IPS |
|
|
Style Transfer (I8)
|
98% |
30126
39.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5220
186.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5223
186.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6400
228.6 IPS |
|
|
Text Classification (F32)
|
100% |
1778
2.55 KIPS |
|
|
Text Classification (F16)
|
100% |
1812
2.60 KIPS |
|
|
Text Classification (I8)
|
98% |
1326
1.91 KIPS |
|
|
Machine Translation (F32)
|
100% |
2692
49.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2778
51.1 IPS |
|
|
Machine Translation (I8)
|
67% |
4148
76.3 IPS |
