ASRock Z890 Taichi OCF
Geekbench AI Score
8015
Single Precision Score
2767
Half Precision Score
11553
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Jordan_OC |
| Upload Date | May 01 2025 07:54 AM |
| Views | 6 |
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% |
6272
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
903
168.0 IPS |
|
|
Image Classification (Q)
|
99% |
10706
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2845
46.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1685
27.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4821
78.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17891
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
9430
11.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
59591
69.9 IPS |
|
|
Object Detection (SP)
|
100% |
5925
470.0 IPS |
|
|
Object Detection (HP)
|
100% |
1210
96.0 IPS |
|
|
Object Detection (Q)
|
86% |
12779
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
16626
197.6 IPS |
|
|
Face Detection (HP)
|
100% |
2866
34.1 IPS |
|
|
Face Detection (Q)
|
97% |
14702
175.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
19339
149.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3902
30.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
29604
236.2 IPS |
|
|
Style Transfer (SP)
|
100% |
40016
51.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23521
30.2 IPS |
|
|
Style Transfer (Q)
|
98% |
38288
49.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6278
231.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4109
151.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7398
273.9 IPS |
|
|
Text Classification (SP)
|
100% |
2128
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
1099
1.47 KIPS |
|
|
Text Classification (Q)
|
97% |
1903
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3368
58.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1276
22.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4595
92.3 IPS |
