ASRock Z890 Taichi OCF
Geekbench AI Score
8300
Single Precision Score
2937
Half Precision Score
12053
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | W4RH34D |
| Upload Date | October 08 2025 06:57 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASRock Z890 Taichi OCF |
| Motherboard | ASRock Z890 Taichi OCF |
| Power Plan | Dynamic Boost Performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6631
1.23 KIPS |
|
|
Image Classification (HP)
|
100% |
943
175.4 IPS |
|
|
Image Classification (Q)
|
99% |
11335
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3570
57.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1865
30.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
14043
228.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16694
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
9930
11.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
55981
65.6 IPS |
|
|
Object Detection (SP)
|
100% |
6207
492.4 IPS |
|
|
Object Detection (HP)
|
100% |
1212
96.1 IPS |
|
|
Object Detection (Q)
|
86% |
11918
957.8 IPS |
|
|
Face Detection (SP)
|
100% |
19337
229.8 IPS |
|
|
Face Detection (HP)
|
100% |
2811
33.4 IPS |
|
|
Face Detection (Q)
|
97% |
14886
177.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19412
149.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3935
30.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
33331
266.0 IPS |
|
|
Style Transfer (SP)
|
100% |
37779
48.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24397
31.4 IPS |
|
|
Style Transfer (Q)
|
98% |
44723
57.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5416
200.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4280
158.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7979
295.4 IPS |
|
|
Text Classification (SP)
|
100% |
2249
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
1202
1.60 KIPS |
|
|
Text Classification (Q)
|
97% |
780
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3663
63.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1630
28.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4413
88.7 IPS |
