ASRock Z890 Taichi OCF
Geekbench AI Score
7753
Single Precision Score
2665
Half Precision Score
10827
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Jordan_OC |
| Upload Date | May 02 2025 07:29 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
6102
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
894
166.3 IPS |
|
|
Image Classification (Q)
|
99% |
10394
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2746
44.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1623
26.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4620
75.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17362
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
9126
10.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
56588
66.3 IPS |
|
|
Object Detection (SP)
|
100% |
5614
445.3 IPS |
|
|
Object Detection (HP)
|
100% |
1159
91.9 IPS |
|
|
Object Detection (Q)
|
86% |
12280
986.9 IPS |
|
|
Face Detection (SP)
|
100% |
15246
181.2 IPS |
|
|
Face Detection (HP)
|
100% |
2760
32.8 IPS |
|
|
Face Detection (Q)
|
97% |
14111
168.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18578
143.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3713
28.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
26757
213.5 IPS |
|
|
Style Transfer (SP)
|
100% |
39710
51.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23750
30.5 IPS |
|
|
Style Transfer (Q)
|
98% |
27265
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6322
233.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4039
149.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7498
277.6 IPS |
|
|
Text Classification (SP)
|
100% |
2066
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
1088
1.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1882
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3272
56.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1102
19.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4570
91.8 IPS |
