ASRock X870E Taichi
Geekbench ML Score
6770
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 30 2024 06:02 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X870E Taichi |
| Motherboard | ASRock X870E Taichi |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 96.0 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% |
4273
799.6 IPS |
|
|
Image Classification (F16)
|
100% |
2925
547.4 IPS |
|
|
Image Classification (I8)
|
99% |
7743
1.45 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2291
38.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2745
45.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
4419
73.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
8977
10.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
9775
11.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
46870
56.8 IPS |
|
|
Object Detection (F32)
|
100% |
2914
217.6 IPS |
|
|
Object Detection (F16)
|
100% |
2906
217.0 IPS |
|
|
Object Detection (I8)
|
62% |
2920
218.0 IPS |
|
|
Face Detection (F32)
|
100% |
9992
118.8 IPS |
|
|
Face Detection (F16)
|
100% |
8314
98.9 IPS |
|
|
Face Detection (I8)
|
89% |
8972
106.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
10732
83.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
17975
139.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
32561
252.5 IPS |
|
|
Style Transfer (F32)
|
100% |
31683
41.7 IPS |
|
|
Style Transfer (F16)
|
100% |
22528
29.6 IPS |
|
|
Style Transfer (I8)
|
98% |
41790
55.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6804
243.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4276
152.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6656
237.7 IPS |
|
|
Text Classification (F32)
|
100% |
2580
3.71 KIPS |
|
|
Text Classification (F16)
|
100% |
2574
3.70 KIPS |
|
|
Text Classification (I8)
|
98% |
1626
2.34 KIPS |
|
|
Machine Translation (F32)
|
100% |
4265
78.5 IPS |
|
|
Machine Translation (F16)
|
100% |
4334
79.8 IPS |
|
|
Machine Translation (I8)
|
67% |
5614
103.3 IPS |
