ASRock Z890 Taichi OCF
Geekbench AI Score
8040
Single Precision Score
2679
Half Precision Score
11386
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Jordan_OC |
| Upload Date | May 01 2025 08:44 PM |
| Views | 9 |
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% |
6105
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
895
166.4 IPS |
|
|
Image Classification (Q)
|
99% |
10296
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3338
54.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1637
26.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4654
75.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17954
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
9421
11.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
58229
68.3 IPS |
|
|
Object Detection (SP)
|
100% |
5873
465.8 IPS |
|
|
Object Detection (HP)
|
100% |
981
77.9 IPS |
|
|
Object Detection (Q)
|
86% |
12724
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
16310
193.8 IPS |
|
|
Face Detection (HP)
|
100% |
2911
34.6 IPS |
|
|
Face Detection (Q)
|
97% |
14535
173.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18988
146.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3878
29.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
29020
231.6 IPS |
|
|
Style Transfer (SP)
|
100% |
40059
51.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24164
31.1 IPS |
|
|
Style Transfer (Q)
|
98% |
39666
51.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6262
231.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4078
150.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7122
263.7 IPS |
|
|
Text Classification (SP)
|
100% |
2099
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
1094
1.46 KIPS |
|
|
Text Classification (Q)
|
97% |
1891
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3222
55.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1158
19.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4580
92.0 IPS |
