ASRock X870E Taichi
Geekbench ML Score
19208
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 28 2025 09:20 AM |
| Views | 5 |
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 3090 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8784
1.64 KIPS |
|
|
Image Classification (F16)
|
100% |
9697
1.81 KIPS |
|
|
Image Classification (I8)
|
100% |
6103
1.14 KIPS |
|
|
Image Segmentation (F32)
|
100% |
15271
255.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
15216
254.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
10948
182.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
164632
199.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
164102
198.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
118601
143.6 IPS |
|
|
Object Detection (F32)
|
100% |
7789
581.5 IPS |
|
|
Object Detection (F16)
|
100% |
7768
579.9 IPS |
|
|
Object Detection (I8)
|
56% |
5535
413.2 IPS |
|
|
Face Detection (F32)
|
100% |
31223
371.3 IPS |
|
|
Face Detection (F16)
|
100% |
32611
387.7 IPS |
|
|
Face Detection (I8)
|
89% |
20190
240.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
62978
488.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
55702
432.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
35762
277.3 IPS |
|
|
Style Transfer (F32)
|
100% |
273676
360.0 IPS |
|
|
Style Transfer (F16)
|
100% |
243928
320.9 IPS |
|
|
Style Transfer (I8)
|
98% |
172855
227.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
36482
1.30 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
36386
1.30 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
20485
731.6 IPS |
|
|
Text Classification (F32)
|
100% |
2519
3.62 KIPS |
|
|
Text Classification (F16)
|
100% |
2505
3.60 KIPS |
|
|
Text Classification (I8)
|
98% |
1299
1.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
4450
81.9 IPS |
|
|
Machine Translation (F16)
|
100% |
4455
82.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1714
31.5 IPS |
