ASRock Z890 Taichi OCF
Geekbench AI Score
8012
Single Precision Score
2759
Half Precision Score
11739
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Jordan_OC |
| Upload Date | May 01 2025 06:20 PM |
| 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% |
6155
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
905
168.3 IPS |
|
|
Image Classification (Q)
|
99% |
10541
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2888
46.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1709
27.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4764
77.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17978
21.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
9393
11.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
60110
70.5 IPS |
|
|
Object Detection (SP)
|
100% |
6110
484.7 IPS |
|
|
Object Detection (HP)
|
100% |
1213
96.2 IPS |
|
|
Object Detection (Q)
|
86% |
12926
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
16802
199.6 IPS |
|
|
Face Detection (HP)
|
100% |
2972
35.3 IPS |
|
|
Face Detection (Q)
|
97% |
14665
174.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
19209
148.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3936
30.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
30210
241.1 IPS |
|
|
Style Transfer (SP)
|
100% |
40584
52.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23555
30.3 IPS |
|
|
Style Transfer (Q)
|
98% |
42818
55.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6196
228.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4059
149.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7464
276.4 IPS |
|
|
Text Classification (SP)
|
100% |
2120
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
1087
1.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1923
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3245
55.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1193
20.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4681
94.1 IPS |
