ASRock Z890 Taichi OCF
Geekbench AI Score
7606
Single Precision Score
2663
Half Precision Score
11450
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Jordan_OC |
| Upload Date | April 29 2025 04:19 AM |
| Views | 13 |
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% |
5257
977.6 IPS |
|
|
Image Classification (HP)
|
100% |
913
169.7 IPS |
|
|
Image Classification (Q)
|
99% |
10493
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2180
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1255
20.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5339
86.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17824
20.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
9245
10.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
58097
68.1 IPS |
|
|
Object Detection (SP)
|
100% |
5918
469.4 IPS |
|
|
Object Detection (HP)
|
100% |
1167
92.6 IPS |
|
|
Object Detection (Q)
|
86% |
12300
988.5 IPS |
|
|
Face Detection (SP)
|
100% |
16079
191.1 IPS |
|
|
Face Detection (HP)
|
100% |
2954
35.1 IPS |
|
|
Face Detection (Q)
|
97% |
14078
167.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
18886
145.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3863
29.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
29532
235.7 IPS |
|
|
Style Transfer (SP)
|
100% |
40655
52.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23158
29.8 IPS |
|
|
Style Transfer (Q)
|
98% |
35159
45.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6332
233.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4086
150.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7568
280.3 IPS |
|
|
Text Classification (SP)
|
100% |
2165
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
1044
1.39 KIPS |
|
|
Text Classification (Q)
|
97% |
1859
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3168
54.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1290
22.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4705
94.5 IPS |
