ASRock X870E Taichi
Geekbench AI Score
14235
Single Precision Score
14180
Half Precision Score
34263
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | gak7931 |
| Upload Date | November 25 2025 06:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASRock X870E Taichi |
| Motherboard | ASRock X870E Taichi |
| Power Plan | High performance |
| 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% |
7583
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
7187
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
18545
3.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8737
141.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8740
141.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25509
413.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
29612
34.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
29319
34.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
122395
143.3 IPS |
|
|
Object Detection (SP)
|
100% |
8628
684.4 IPS |
|
|
Object Detection (HP)
|
100% |
8478
672.5 IPS |
|
|
Object Detection (Q)
|
88% |
20515
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
18671
221.9 IPS |
|
|
Face Detection (HP)
|
100% |
20723
246.2 IPS |
|
|
Face Detection (Q)
|
100% |
50673
602.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
23256
179.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
23083
177.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
65426
509.1 IPS |
|
|
Style Transfer (SP)
|
100% |
77830
100.1 IPS |
|
|
Style Transfer (HP)
|
100% |
76621
98.5 IPS |
|
|
Style Transfer (Q)
|
98% |
271755
350.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14971
552.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14853
548.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39128
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
4690
6.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4595
6.13 KIPS |
|
|
Text Classification (Q)
|
92% |
5694
7.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
8508
146.6 IPS |
|
|
Machine Translation (HP)
|
100% |
8421
145.1 IPS |
|
|
Machine Translation (Q)
|
100% |
9354
161.1 IPS |
