ASRock X870E Taichi OCF
Geekbench AI Score
14748
Single Precision Score
14492
Half Precision Score
34342
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 04 2026 11:29 PM |
| Views | 6 |
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 OCF |
| Motherboard | ASRock X870E Taichi OCF |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7560
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
7107
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
17701
3.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10495
170.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9754
158.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
25093
406.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
32070
37.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
31727
37.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
124225
145.4 IPS |
|
|
Object Detection (SP)
|
100% |
8552
678.3 IPS |
|
|
Object Detection (HP)
|
100% |
8907
706.5 IPS |
|
|
Object Detection (Q)
|
88% |
20307
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
18805
223.4 IPS |
|
|
Face Detection (HP)
|
100% |
18849
224.0 IPS |
|
|
Face Detection (Q)
|
100% |
52579
624.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
25917
199.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
25344
195.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
68278
531.3 IPS |
|
|
Style Transfer (SP)
|
100% |
79245
101.9 IPS |
|
|
Style Transfer (HP)
|
100% |
80196
103.1 IPS |
|
|
Style Transfer (Q)
|
98% |
286541
369.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14659
541.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14804
546.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40317
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
4486
5.99 KIPS |
|
|
Text Classification (HP)
|
100% |
4181
5.58 KIPS |
|
|
Text Classification (Q)
|
92% |
5368
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
8809
151.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8798
151.6 IPS |
|
|
Machine Translation (Q)
|
100% |
9148
157.6 IPS |
