ASUS System Product Name
Geekbench ML Score
5730
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | NATA |
| Upload Date | July 27 2024 07:48 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i9-14900KS |
| 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 | 64.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 4.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3171
593.3 IPS |
|
|
Image Classification (F16)
|
100% |
3023
565.6 IPS |
|
|
Image Classification (I8)
|
99% |
4902
917.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2553
42.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2572
42.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
4002
66.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
12124
14.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
12114
14.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
36124
43.7 IPS |
|
|
Object Detection (F32)
|
100% |
2938
219.4 IPS |
|
|
Object Detection (F16)
|
100% |
2957
220.8 IPS |
|
|
Object Detection (I8)
|
62% |
2631
196.4 IPS |
|
|
Face Detection (F32)
|
100% |
5640
67.1 IPS |
|
|
Face Detection (F16)
|
100% |
5808
69.1 IPS |
|
|
Face Detection (I8)
|
89% |
6083
72.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
12430
96.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
12397
96.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
21980
170.5 IPS |
|
|
Style Transfer (F32)
|
100% |
29795
39.2 IPS |
|
|
Style Transfer (F16)
|
100% |
29774
39.2 IPS |
|
|
Style Transfer (I8)
|
98% |
31094
40.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5535
197.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5526
197.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7393
264.0 IPS |
|
|
Text Classification (F32)
|
100% |
1934
2.78 KIPS |
|
|
Text Classification (F16)
|
100% |
1963
2.82 KIPS |
|
|
Text Classification (I8)
|
98% |
641
920.9 IPS |
|
|
Machine Translation (F32)
|
100% |
2988
55.0 IPS |
|
|
Machine Translation (F16)
|
100% |
3008
55.4 IPS |
|
|
Machine Translation (I8)
|
67% |
4043
74.4 IPS |
