ASRock X870E Taichi
Geekbench AI Score
48616
Single Precision Score
73845
Half Precision Score
35865
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | metaphase |
| Upload Date | August 07 2025 11:24 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| 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 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16922
3.15 KIPS |
|
|
Image Classification (HP)
|
100% |
22164
4.12 KIPS |
|
|
Image Classification (Q)
|
100% |
14671
2.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
39740
644.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
52830
856.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
37047
602.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
403433
470.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
1012811
1.18 KIPS |
|
|
Pose Estimation (Q)
|
96% |
329570
386.0 IPS |
|
|
Object Detection (SP)
|
100% |
25048
1.99 KIPS |
|
|
Object Detection (HP)
|
100% |
32679
2.59 KIPS |
|
|
Object Detection (Q)
|
85% |
20392
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
77802
924.5 IPS |
|
|
Face Detection (HP)
|
100% |
103571
1.23 KIPS |
|
|
Face Detection (Q)
|
97% |
61276
730.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
109956
847.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
193340
1.49 KIPS |
|
|
Depth Estimation (Q)
|
77% |
79300
635.2 IPS |
|
|
Style Transfer (SP)
|
100% |
596233
766.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1741357
2.24 KIPS |
|
|
Style Transfer (Q)
|
98% |
503053
648.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
74266
2.74 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
102574
3.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52414
1.94 KIPS |
|
|
Text Classification (SP)
|
100% |
3789
5.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4503
6.01 KIPS |
|
|
Text Classification (Q)
|
97% |
2316
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
7562
130.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7726
133.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3249
60.9 IPS |
