ASRock Z890 Steel Legend WiFi
Geekbench AI Score
36432
Single Precision Score
60875
Half Precision Score
27522
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 06:14 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock Z890 Steel Legend WiFi |
| Motherboard | ASRock Z890 Steel Legend WiFi |
| Power Plan | High performance |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14145
2.63 KIPS |
|
|
Image Classification (HP)
|
100% |
21570
4.01 KIPS |
|
|
Image Classification (Q)
|
100% |
12188
2.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27730
449.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
39772
644.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
24759
402.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
239472
279.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
696295
812.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
205802
241.1 IPS |
|
|
Object Detection (SP)
|
100% |
18462
1.46 KIPS |
|
|
Object Detection (HP)
|
100% |
27603
2.19 KIPS |
|
|
Object Detection (Q)
|
86% |
15838
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
55028
653.9 IPS |
|
|
Face Detection (HP)
|
100% |
78813
936.5 IPS |
|
|
Face Detection (Q)
|
97% |
44888
535.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
88487
681.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
168709
1.30 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65461
522.7 IPS |
|
|
Style Transfer (SP)
|
100% |
345156
443.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1089937
1.40 KIPS |
|
|
Style Transfer (Q)
|
98% |
301135
388.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53158
1.96 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
83682
3.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40094
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
3833
5.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4957
6.62 KIPS |
|
|
Text Classification (Q)
|
97% |
2326
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
6938
119.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7051
121.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3072
57.6 IPS |
