ASUS System Product Name
Geekbench ML Score
6236
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 22 2024 07:12 AM |
| Views | 2 |
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 | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KS |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3332
623.6 IPS |
|
|
Image Classification (F16)
|
100% |
3338
624.6 IPS |
|
|
Image Classification (I8)
|
99% |
5018
939.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
2721
45.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2723
45.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
4127
68.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
13160
15.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
13170
15.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
41216
49.9 IPS |
|
|
Object Detection (F32)
|
100% |
3205
239.3 IPS |
|
|
Object Detection (F16)
|
100% |
3208
239.5 IPS |
|
|
Object Detection (I8)
|
62% |
2712
202.4 IPS |
|
|
Face Detection (F32)
|
100% |
7484
89.0 IPS |
|
|
Face Detection (F16)
|
100% |
7476
88.9 IPS |
|
|
Face Detection (I8)
|
89% |
7416
88.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
13761
106.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
13715
106.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
23560
182.7 IPS |
|
|
Style Transfer (F32)
|
100% |
31662
41.6 IPS |
|
|
Style Transfer (F16)
|
100% |
31697
41.7 IPS |
|
|
Style Transfer (I8)
|
98% |
41919
55.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5901
210.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5908
211.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7555
269.8 IPS |
|
|
Text Classification (F32)
|
100% |
2040
2.93 KIPS |
|
|
Text Classification (F16)
|
100% |
2040
2.93 KIPS |
|
|
Text Classification (I8)
|
98% |
630
905.0 IPS |
|
|
Machine Translation (F32)
|
100% |
3049
56.1 IPS |
|
|
Machine Translation (F16)
|
100% |
3098
57.0 IPS |
|
|
Machine Translation (I8)
|
67% |
4106
75.6 IPS |
