ASRock Z890 Taichi OCF
Geekbench AI Score
10208
Single Precision Score
8457
Half Precision Score
16317
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Jordan_OC |
| Upload Date | May 08 2025 07:31 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASRock Z890 Taichi OCF |
| Motherboard | ASRock Z890 Taichi OCF |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6664
1.24 KIPS |
|
|
Image Classification (HP)
|
100% |
3728
693.3 IPS |
|
|
Image Classification (Q)
|
100% |
10517
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8670
140.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4650
75.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10179
165.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16975
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
16584
19.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
34456
40.4 IPS |
|
|
Object Detection (SP)
|
100% |
6335
502.5 IPS |
|
|
Object Detection (HP)
|
100% |
4404
349.3 IPS |
|
|
Object Detection (Q)
|
88% |
11308
906.4 IPS |
|
|
Face Detection (SP)
|
100% |
18698
222.2 IPS |
|
|
Face Detection (HP)
|
100% |
10910
129.6 IPS |
|
|
Face Detection (Q)
|
100% |
30088
357.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17650
136.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15385
118.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
33706
262.0 IPS |
|
|
Style Transfer (SP)
|
100% |
47475
61.0 IPS |
|
|
Style Transfer (HP)
|
100% |
47273
60.8 IPS |
|
|
Style Transfer (Q)
|
98% |
96728
124.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10023
370.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10034
370.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18426
682.4 IPS |
|
|
Text Classification (SP)
|
100% |
4658
6.22 KIPS |
|
|
Text Classification (HP)
|
100% |
3632
4.85 KIPS |
|
|
Text Classification (Q)
|
92% |
6479
8.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2704
46.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5114
88.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2740
47.2 IPS |
