ASRock X870E Taichi
Geekbench AI Score
39672
Single Precision Score
68055
Half Precision Score
29374
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 18 2025 05:02 PM |
| Views | 2 |
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 9950X |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15242
2.83 KIPS |
|
|
Image Classification (HP)
|
100% |
23189
4.31 KIPS |
|
|
Image Classification (Q)
|
100% |
13411
2.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
31371
508.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
47486
769.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
28175
458.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
238536
278.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
764016
891.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
202665
237.4 IPS |
|
|
Object Detection (SP)
|
100% |
20947
1.66 KIPS |
|
|
Object Detection (HP)
|
100% |
33392
2.65 KIPS |
|
|
Object Detection (Q)
|
86% |
17482
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
61962
736.2 IPS |
|
|
Face Detection (HP)
|
100% |
93811
1.11 KIPS |
|
|
Face Detection (Q)
|
97% |
50053
596.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
92667
713.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
174358
1.34 KIPS |
|
|
Depth Estimation (Q)
|
78% |
68182
544.5 IPS |
|
|
Style Transfer (SP)
|
100% |
354414
455.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1191269
1.53 KIPS |
|
|
Style Transfer (Q)
|
98% |
303723
391.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59392
2.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
93922
3.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43718
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
4183
5.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5173
6.90 KIPS |
|
|
Text Classification (Q)
|
97% |
2417
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
7996
137.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8014
138.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3262
61.2 IPS |
