ASRock Z890 Taichi OCF
Geekbench AI Score
8050
Single Precision Score
2784
Half Precision Score
11502
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Jordan_OC |
| Upload Date | April 30 2025 07:24 PM |
| Views | 8 |
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% |
6118
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
910
169.3 IPS |
|
|
Image Classification (Q)
|
99% |
10562
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2861
46.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1685
27.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4693
76.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18689
21.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
9436
11.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
59590
69.9 IPS |
|
|
Object Detection (SP)
|
100% |
6005
476.3 IPS |
|
|
Object Detection (HP)
|
100% |
1196
94.9 IPS |
|
|
Object Detection (Q)
|
86% |
12621
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
16715
198.6 IPS |
|
|
Face Detection (HP)
|
100% |
2969
35.3 IPS |
|
|
Face Detection (Q)
|
97% |
14642
174.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
19408
149.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3905
30.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
29213
233.1 IPS |
|
|
Style Transfer (SP)
|
100% |
40653
52.3 IPS |
|
|
Style Transfer (HP)
|
100% |
24122
31.0 IPS |
|
|
Style Transfer (Q)
|
98% |
36764
47.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6299
232.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4068
150.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7499
277.7 IPS |
|
|
Text Classification (SP)
|
100% |
2130
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
1088
1.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1934
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3288
56.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1306
22.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4767
95.8 IPS |
