ASRock Z890 Taichi OCF
Geekbench AI Score
10130
Single Precision Score
8442
Half Precision Score
16469
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Jordan_OC |
| Upload Date | May 01 2025 06:22 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
6412
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
3787
704.2 IPS |
|
|
Image Classification (Q)
|
100% |
10625
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8576
139.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4680
75.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10801
175.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16972
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
16432
19.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
34561
40.5 IPS |
|
|
Object Detection (SP)
|
100% |
6334
502.4 IPS |
|
|
Object Detection (HP)
|
100% |
4244
336.6 IPS |
|
|
Object Detection (Q)
|
88% |
11361
910.7 IPS |
|
|
Face Detection (SP)
|
100% |
18740
222.7 IPS |
|
|
Face Detection (HP)
|
100% |
10952
130.1 IPS |
|
|
Face Detection (Q)
|
100% |
30642
364.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17958
138.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15448
119.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
33827
263.0 IPS |
|
|
Style Transfer (SP)
|
100% |
47469
61.0 IPS |
|
|
Style Transfer (HP)
|
100% |
47448
61.0 IPS |
|
|
Style Transfer (Q)
|
98% |
96606
124.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10037
370.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9874
364.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18111
670.7 IPS |
|
|
Text Classification (SP)
|
100% |
4397
5.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3532
4.71 KIPS |
|
|
Text Classification (Q)
|
92% |
6470
8.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2732
47.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5315
91.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2777
47.8 IPS |
