Gigabyte Technology Co., Ltd. Z890 AORUS ELITE WIFI7
Geekbench AI Score
8509
Single Precision Score
10548
Half Precision Score
16261
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 18 2025 05:21 PM |
| Views | 2 |
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 ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE WIFI7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4144
770.7 IPS |
|
|
Image Classification (HP)
|
100% |
7376
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
10134
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7961
129.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2893
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3602
58.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12776
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
35313
41.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
75399
88.3 IPS |
|
|
Object Detection (SP)
|
100% |
5439
431.4 IPS |
|
|
Object Detection (HP)
|
100% |
6226
493.8 IPS |
|
|
Object Detection (Q)
|
88% |
10199
817.6 IPS |
|
|
Face Detection (SP)
|
100% |
16665
198.0 IPS |
|
|
Face Detection (HP)
|
100% |
18244
216.8 IPS |
|
|
Face Detection (Q)
|
100% |
34187
406.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14379
110.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19560
150.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
36172
281.5 IPS |
|
|
Style Transfer (SP)
|
100% |
37840
48.6 IPS |
|
|
Style Transfer (HP)
|
100% |
56399
72.5 IPS |
|
|
Style Transfer (Q)
|
98% |
103588
133.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7425
274.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16343
603.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31910
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3817
5.09 KIPS |
|
|
Text Classification (HP)
|
100% |
2214
2.96 KIPS |
|
|
Text Classification (Q)
|
92% |
2244
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3381
58.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4991
86.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5022
86.5 IPS |
