ASRock Z890 Taichi OCF
Geekbench AI Score
9836
Single Precision Score
8344
Half Precision Score
16149
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Jordan_OC |
| Upload Date | May 02 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% |
6513
1.21 KIPS |
|
|
Image Classification (HP)
|
100% |
3636
676.2 IPS |
|
|
Image Classification (Q)
|
100% |
10366
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8357
135.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4619
74.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10838
175.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16666
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16304
19.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
33403
39.1 IPS |
|
|
Object Detection (SP)
|
100% |
5917
469.3 IPS |
|
|
Object Detection (HP)
|
100% |
4278
339.3 IPS |
|
|
Object Detection (Q)
|
88% |
11169
895.3 IPS |
|
|
Face Detection (SP)
|
100% |
16930
201.2 IPS |
|
|
Face Detection (HP)
|
100% |
10768
127.9 IPS |
|
|
Face Detection (Q)
|
100% |
28676
340.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16733
128.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14775
113.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
32866
255.5 IPS |
|
|
Style Transfer (SP)
|
100% |
46596
59.9 IPS |
|
|
Style Transfer (HP)
|
100% |
46321
59.5 IPS |
|
|
Style Transfer (Q)
|
98% |
96189
124.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10031
370.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9797
361.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18319
678.4 IPS |
|
|
Text Classification (SP)
|
100% |
4325
5.77 KIPS |
|
|
Text Classification (HP)
|
100% |
3568
4.76 KIPS |
|
|
Text Classification (Q)
|
92% |
6284
8.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2758
47.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5424
93.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2759
47.5 IPS |
