ASRock X870E Taichi
Geekbench ML Score
26665
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 04 2025 11:32 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 | 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 Ti |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
13022
2.44 KIPS |
|
|
Image Classification (F16)
|
100% |
12012
2.25 KIPS |
|
|
Image Classification (I8)
|
100% |
10437
1.95 KIPS |
|
|
Image Segmentation (F32)
|
100% |
20477
342.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
20206
337.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
19146
319.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
169244
204.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
167878
203.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
153765
186.2 IPS |
|
|
Object Detection (F32)
|
100% |
9185
685.7 IPS |
|
|
Object Detection (F16)
|
100% |
9144
682.7 IPS |
|
|
Object Detection (I8)
|
50% |
8397
626.9 IPS |
|
|
Face Detection (F32)
|
100% |
42867
509.7 IPS |
|
|
Face Detection (F16)
|
100% |
43112
512.6 IPS |
|
|
Face Detection (I8)
|
89% |
35359
420.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
82484
639.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
82675
641.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
63423
491.8 IPS |
|
|
Style Transfer (F32)
|
100% |
308835
406.2 IPS |
|
|
Style Transfer (F16)
|
100% |
312688
411.3 IPS |
|
|
Style Transfer (I8)
|
98% |
255587
336.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
46197
1.65 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
46780
1.67 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
36475
1.30 KIPS |
|
|
Text Classification (F32)
|
100% |
3487
5.01 KIPS |
|
|
Text Classification (F16)
|
100% |
3205
4.61 KIPS |
|
|
Text Classification (I8)
|
98% |
2157
3.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
5988
110.2 IPS |
|
|
Machine Translation (F16)
|
100% |
5993
110.3 IPS |
|
|
Machine Translation (I8)
|
70% |
3169
58.3 IPS |
