ASRock X870E Taichi
Geekbench ML Score
24328
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 05 2025 11:20 AM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X870E Taichi |
| Motherboard | ASRock X870E Taichi |
| Power Plan | Balanced |
| 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 | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
10863
2.03 KIPS |
|
|
Image Classification (F16)
|
100% |
10893
2.04 KIPS |
|
|
Image Classification (I8)
|
100% |
9636
1.80 KIPS |
|
|
Image Segmentation (F32)
|
100% |
19223
321.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
19212
320.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
18096
302.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
160942
194.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
160754
194.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
139984
169.5 IPS |
|
|
Object Detection (F32)
|
100% |
9030
674.2 IPS |
|
|
Object Detection (F16)
|
100% |
9069
677.1 IPS |
|
|
Object Detection (I8)
|
57% |
8295
619.3 IPS |
|
|
Face Detection (F32)
|
100% |
37506
446.0 IPS |
|
|
Face Detection (F16)
|
100% |
37204
442.4 IPS |
|
|
Face Detection (I8)
|
89% |
29682
352.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
68054
527.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
68673
532.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
54470
422.4 IPS |
|
|
Style Transfer (F32)
|
100% |
225120
296.1 IPS |
|
|
Style Transfer (F16)
|
100% |
227102
298.7 IPS |
|
|
Style Transfer (I8)
|
98% |
195044
256.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
41891
1.50 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
42350
1.51 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
33381
1.19 KIPS |
|
|
Text Classification (F32)
|
100% |
3621
5.20 KIPS |
|
|
Text Classification (F16)
|
100% |
3642
5.23 KIPS |
|
|
Text Classification (I8)
|
98% |
2234
3.21 KIPS |
|
|
Machine Translation (F32)
|
100% |
6001
110.4 IPS |
|
|
Machine Translation (F16)
|
100% |
5955
109.6 IPS |
|
|
Machine Translation (I8)
|
70% |
3117
57.4 IPS |
