ASRock Z890 Taichi OCF
Geekbench AI Score
8004
Single Precision Score
2770
Half Precision Score
11454
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Jordan_OC |
| Upload Date | May 08 2025 07:28 AM |
| 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% |
6247
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
914
170.1 IPS |
|
|
Image Classification (Q)
|
99% |
10791
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2890
46.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1697
27.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4711
76.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18548
21.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9436
11.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
59170
69.4 IPS |
|
|
Object Detection (SP)
|
100% |
6010
476.7 IPS |
|
|
Object Detection (HP)
|
100% |
1218
96.6 IPS |
|
|
Object Detection (Q)
|
86% |
12741
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
16670
198.1 IPS |
|
|
Face Detection (HP)
|
100% |
3013
35.8 IPS |
|
|
Face Detection (Q)
|
97% |
14491
172.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
19043
146.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3996
30.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
30965
247.1 IPS |
|
|
Style Transfer (SP)
|
100% |
38849
49.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23828
30.6 IPS |
|
|
Style Transfer (Q)
|
98% |
37533
48.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6255
231.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4105
151.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7008
259.5 IPS |
|
|
Text Classification (SP)
|
100% |
2124
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
1106
1.48 KIPS |
|
|
Text Classification (Q)
|
97% |
1807
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3276
56.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1149
19.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4759
95.6 IPS |
