ASRock X870E Taichi
Geekbench AI Score
13008
Single Precision Score
12838
Half Precision Score
30831
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | gak7931 |
| Upload Date | November 25 2025 06:02 PM |
| Views | 4 |
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% |
7120
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
7345
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
18333
3.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9312
151.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9390
152.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
26446
428.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
31003
36.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
31246
36.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
124548
145.8 IPS |
|
|
Object Detection (SP)
|
100% |
9008
714.6 IPS |
|
|
Object Detection (HP)
|
100% |
6305
500.1 IPS |
|
|
Object Detection (Q)
|
88% |
20653
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
18438
219.1 IPS |
|
|
Face Detection (HP)
|
100% |
18757
222.9 IPS |
|
|
Face Detection (Q)
|
100% |
49405
587.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
23403
180.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18007
138.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
49507
385.3 IPS |
|
|
Style Transfer (SP)
|
100% |
49803
64.0 IPS |
|
|
Style Transfer (HP)
|
100% |
49751
64.0 IPS |
|
|
Style Transfer (Q)
|
98% |
175190
225.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9635
355.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14757
544.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28351
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
4085
5.45 KIPS |
|
|
Text Classification (HP)
|
100% |
4118
5.50 KIPS |
|
|
Text Classification (Q)
|
92% |
5635
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
8859
152.6 IPS |
|
|
Machine Translation (HP)
|
100% |
8765
151.0 IPS |
|
|
Machine Translation (Q)
|
100% |
9092
156.6 IPS |
