ASRock Z890 Steel Legend WiFi
Geekbench AI Score
3814
Single Precision Score
3787
Half Precision Score
2866
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | December 06 2025 08:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Fedora Linux 43 (Workstation Edition) |
| Model | ASRock Z890 Steel Legend WiFi |
| Motherboard | ASRock Z890 Steel Legend WiFi |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 5.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3089
574.4 IPS |
|
|
Image Classification (HP)
|
100% |
3125
581.2 IPS |
|
|
Image Classification (Q)
|
99% |
2311
431.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4726
76.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4536
73.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2077
33.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4946
5.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
4940
5.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
7948
9.31 IPS |
|
|
Object Detection (SP)
|
100% |
3357
266.3 IPS |
|
|
Object Detection (HP)
|
100% |
3342
265.1 IPS |
|
|
Object Detection (Q)
|
85% |
2498
201.1 IPS |
|
|
Face Detection (SP)
|
100% |
5370
63.8 IPS |
|
|
Face Detection (HP)
|
100% |
5288
62.8 IPS |
|
|
Face Detection (Q)
|
97% |
4137
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4454
34.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4429
34.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
3516
33.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5602
7.20 IPS |
|
|
Style Transfer (HP)
|
100% |
5646
7.26 IPS |
|
|
Style Transfer (Q)
|
98% |
10871
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3122
115.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3076
113.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3192
118.3 IPS |
|
|
Text Classification (SP)
|
100% |
1628
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
1625
2.17 KIPS |
|
|
Text Classification (Q)
|
92% |
991
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3955
68.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3927
67.6 IPS |
|
|
Machine Translation (Q)
|
58% |
785
18.4 IPS |
