ASRock X870E Taichi Lite
Geekbench AI Score
13998
Single Precision Score
14104
Half Precision Score
34563
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | NATA |
| Upload Date | April 16 2026 06:19 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X870E Taichi Lite |
| Motherboard | ASRock X870E Taichi Lite |
| Power Plan | Prestazioni eccellenti |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6891
1.28 KIPS |
|
|
Image Classification (HP)
|
100% |
7117
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
18437
3.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9629
156.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8752
141.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
25412
411.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
31376
36.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31288
36.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
124889
146.2 IPS |
|
|
Object Detection (SP)
|
100% |
8367
663.7 IPS |
|
|
Object Detection (HP)
|
100% |
8358
663.0 IPS |
|
|
Object Detection (Q)
|
88% |
20226
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
17338
206.0 IPS |
|
|
Face Detection (HP)
|
100% |
18321
217.7 IPS |
|
|
Face Detection (Q)
|
100% |
50295
597.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
22010
169.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
22992
177.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
65665
511.0 IPS |
|
|
Style Transfer (SP)
|
100% |
78920
101.5 IPS |
|
|
Style Transfer (HP)
|
100% |
80078
102.9 IPS |
|
|
Style Transfer (Q)
|
98% |
287249
370.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14944
551.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15072
556.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40083
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
4263
5.69 KIPS |
|
|
Text Classification (HP)
|
100% |
4496
6.00 KIPS |
|
|
Text Classification (Q)
|
92% |
5598
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
8648
149.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8369
144.2 IPS |
|
|
Machine Translation (Q)
|
100% |
9658
166.4 IPS |
