ASRock Z890 Steel Legend WiFi
Geekbench AI Score
4037
Single Precision Score
4015
Half Precision Score
2929
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | December 06 2025 08:21 PM |
| Views | 3 |
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% |
3433
638.4 IPS |
|
|
Image Classification (HP)
|
100% |
3446
640.9 IPS |
|
|
Image Classification (Q)
|
99% |
2450
457.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5158
83.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5167
83.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2121
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4966
5.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
4943
5.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
7749
9.08 IPS |
|
|
Object Detection (SP)
|
100% |
3734
296.2 IPS |
|
|
Object Detection (HP)
|
100% |
3372
267.5 IPS |
|
|
Object Detection (Q)
|
85% |
2384
191.9 IPS |
|
|
Face Detection (SP)
|
100% |
4899
58.2 IPS |
|
|
Face Detection (HP)
|
100% |
5142
61.1 IPS |
|
|
Face Detection (Q)
|
97% |
3997
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4668
36.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4790
36.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
3659
34.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5746
7.39 IPS |
|
|
Style Transfer (HP)
|
100% |
5703
7.33 IPS |
|
|
Style Transfer (Q)
|
98% |
11467
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3379
124.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3395
125.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3294
122.1 IPS |
|
|
Text Classification (SP)
|
100% |
1810
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1759
2.35 KIPS |
|
|
Text Classification (Q)
|
92% |
1078
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
4358
75.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4379
75.4 IPS |
|
|
Machine Translation (Q)
|
58% |
815
19.1 IPS |
