Gigabyte Technology Co., Ltd. Z890 AORUS PRO ICE
Geekbench AI Score
9994
Single Precision Score
10134
Half Precision Score
14884
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 10:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 AORUS PRO ICE |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS PRO ICE |
| Power Plan | Ultimate 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6314
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
7006
1.30 KIPS |
|
|
Image Classification (Q)
|
56% |
6360
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8777
142.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2991
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4013
65.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15741
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34751
40.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
76122
89.2 IPS |
|
|
Object Detection (SP)
|
100% |
6134
486.6 IPS |
|
|
Object Detection (HP)
|
100% |
5962
472.9 IPS |
|
|
Object Detection (Q)
|
87% |
10113
811.7 IPS |
|
|
Face Detection (SP)
|
100% |
17747
210.9 IPS |
|
|
Face Detection (HP)
|
100% |
17779
211.3 IPS |
|
|
Face Detection (Q)
|
100% |
30020
356.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15782
121.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
20252
156.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
37215
289.6 IPS |
|
|
Style Transfer (SP)
|
100% |
42962
55.2 IPS |
|
|
Style Transfer (HP)
|
100% |
56162
72.2 IPS |
|
|
Style Transfer (Q)
|
98% |
102838
132.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9135
337.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14572
538.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26396
977.5 IPS |
|
|
Text Classification (SP)
|
100% |
4280
5.71 KIPS |
|
|
Text Classification (HP)
|
100% |
1981
2.64 KIPS |
|
|
Text Classification (Q)
|
92% |
1963
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3950
68.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4511
77.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4564
78.6 IPS |
