ASRock X870E Taichi
Geekbench AI Score
14914
Single Precision Score
14624
Half Precision Score
35028
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | metaphase |
| Upload Date | September 06 2025 03:39 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| 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% |
7267
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
6879
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
17908
3.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11114
180.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9937
161.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
26801
434.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
32003
37.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
31933
37.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
125726
147.2 IPS |
|
|
Object Detection (SP)
|
100% |
8265
655.6 IPS |
|
|
Object Detection (HP)
|
100% |
8585
681.0 IPS |
|
|
Object Detection (Q)
|
88% |
20158
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
18825
223.7 IPS |
|
|
Face Detection (HP)
|
100% |
17640
209.6 IPS |
|
|
Face Detection (Q)
|
100% |
53524
636.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
25007
192.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
25594
197.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
67008
521.5 IPS |
|
|
Style Transfer (SP)
|
100% |
81393
104.6 IPS |
|
|
Style Transfer (HP)
|
100% |
80943
104.1 IPS |
|
|
Style Transfer (Q)
|
98% |
284702
367.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15513
572.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15128
558.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40174
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
4977
6.64 KIPS |
|
|
Text Classification (HP)
|
100% |
5002
6.68 KIPS |
|
|
Text Classification (Q)
|
92% |
6172
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
8616
148.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8634
148.7 IPS |
|
|
Machine Translation (Q)
|
100% |
9030
155.5 IPS |
