ASRock X870E Taichi
Geekbench AI Score
37763
Single Precision Score
62699
Half Precision Score
28506
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 11:37 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| 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 16-Core Processor |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14867
2.76 KIPS |
|
|
Image Classification (HP)
|
100% |
21151
3.93 KIPS |
|
|
Image Classification (Q)
|
100% |
12764
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27670
448.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
39503
640.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
25228
410.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
242445
282.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
732684
854.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
206002
241.3 IPS |
|
|
Object Detection (SP)
|
100% |
20331
1.61 KIPS |
|
|
Object Detection (HP)
|
100% |
30692
2.43 KIPS |
|
|
Object Detection (Q)
|
86% |
17188
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
59615
708.4 IPS |
|
|
Face Detection (HP)
|
100% |
89846
1.07 KIPS |
|
|
Face Detection (Q)
|
97% |
48772
581.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
94876
731.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
170342
1.31 KIPS |
|
|
Depth Estimation (Q)
|
78% |
69568
555.5 IPS |
|
|
Style Transfer (SP)
|
100% |
347145
446.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1172435
1.51 KIPS |
|
|
Style Transfer (Q)
|
98% |
305620
394.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57711
2.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84709
3.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42497
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
3811
5.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4732
6.32 KIPS |
|
|
Text Classification (Q)
|
97% |
2311
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
6736
116.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6948
119.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3052
57.2 IPS |
