ASRock X870E Taichi
Geekbench ML Score
17478
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 13 2025 08:19 AM |
| Views | 7 |
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 | NVIDIA GeForce RTX 5060 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8254
1.54 KIPS |
|
|
Image Classification (F16)
|
100% |
8117
1.52 KIPS |
|
|
Image Classification (I8)
|
100% |
6994
1.31 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14127
235.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
14073
235.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
13046
217.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
97683
118.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
97619
118.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
82311
99.7 IPS |
|
|
Object Detection (F32)
|
100% |
7384
551.3 IPS |
|
|
Object Detection (F16)
|
100% |
7373
550.5 IPS |
|
|
Object Detection (I8)
|
57% |
6518
486.6 IPS |
|
|
Face Detection (F32)
|
100% |
24587
292.3 IPS |
|
|
Face Detection (F16)
|
100% |
24199
287.7 IPS |
|
|
Face Detection (I8)
|
89% |
19977
237.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
48293
374.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
48014
372.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
40033
310.5 IPS |
|
|
Style Transfer (F32)
|
100% |
149429
196.6 IPS |
|
|
Style Transfer (F16)
|
100% |
149960
197.3 IPS |
|
|
Style Transfer (I8)
|
98% |
126357
166.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
28727
1.03 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
28756
1.03 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
22493
803.3 IPS |
|
|
Text Classification (F32)
|
100% |
3191
4.59 KIPS |
|
|
Text Classification (F16)
|
100% |
3203
4.60 KIPS |
|
|
Text Classification (I8)
|
98% |
2047
2.94 KIPS |
|
|
Machine Translation (F32)
|
100% |
4602
84.7 IPS |
|
|
Machine Translation (F16)
|
100% |
4570
84.1 IPS |
|
|
Machine Translation (I8)
|
70% |
2178
40.1 IPS |
