ASRock X870E Taichi
Geekbench ML Score
21381
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 06 2025 12:20 PM |
| Views | 6 |
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 |
| 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 | AMD Radeon RX 9060 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
11686
2.19 KIPS |
|
|
Image Classification (F16)
|
100% |
12252
2.29 KIPS |
|
|
Image Classification (I8)
|
100% |
10756
2.01 KIPS |
|
|
Image Segmentation (F32)
|
100% |
15553
259.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
15830
264.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
13987
233.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
123021
149.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
125003
151.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
109295
132.4 IPS |
|
|
Object Detection (F32)
|
100% |
6173
460.8 IPS |
|
|
Object Detection (F16)
|
100% |
6184
461.7 IPS |
|
|
Object Detection (I8)
|
62% |
6081
454.0 IPS |
|
|
Face Detection (F32)
|
100% |
27163
323.0 IPS |
|
|
Face Detection (F16)
|
100% |
28444
338.2 IPS |
|
|
Face Detection (I8)
|
89% |
21965
261.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
58546
454.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
59057
458.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
49646
385.0 IPS |
|
|
Style Transfer (F32)
|
100% |
210068
276.3 IPS |
|
|
Style Transfer (F16)
|
100% |
205928
270.9 IPS |
|
|
Style Transfer (I8)
|
98% |
187756
247.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
34777
1.24 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
32388
1.16 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
27464
980.8 IPS |
|
|
Text Classification (F32)
|
100% |
3805
5.47 KIPS |
|
|
Text Classification (F16)
|
100% |
4300
6.18 KIPS |
|
|
Text Classification (I8)
|
98% |
2851
4.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
5699
104.9 IPS |
|
|
Machine Translation (F16)
|
100% |
5818
107.1 IPS |
|
|
Machine Translation (I8)
|
70% |
3399
62.6 IPS |
