ASRock Z890 Taichi OCF
Geekbench AI Score
7928
Single Precision Score
2690
Half Precision Score
11185
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Jordan_OC |
| Upload Date | May 03 2025 06:43 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% |
5967
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
883
164.2 IPS |
|
|
Image Classification (Q)
|
99% |
10261
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3116
50.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1640
26.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5006
81.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17874
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
9298
10.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
58964
69.1 IPS |
|
|
Object Detection (SP)
|
100% |
5662
449.1 IPS |
|
|
Object Detection (HP)
|
100% |
1187
94.1 IPS |
|
|
Object Detection (Q)
|
86% |
12395
996.2 IPS |
|
|
Face Detection (SP)
|
100% |
15779
187.5 IPS |
|
|
Face Detection (HP)
|
100% |
2846
33.8 IPS |
|
|
Face Detection (Q)
|
97% |
14459
172.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
19149
147.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3775
29.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
27597
220.2 IPS |
|
|
Style Transfer (SP)
|
100% |
39544
50.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23591
30.3 IPS |
|
|
Style Transfer (Q)
|
98% |
35528
45.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6274
231.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4117
152.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7555
279.8 IPS |
|
|
Text Classification (SP)
|
100% |
2120
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
1090
1.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1917
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3281
56.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1092
18.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3976
79.9 IPS |
