Gigabyte Technology Co., Ltd. Z890 AORUS ELITE WIFI7 ICE
Geekbench AI Score
5531
Single Precision Score
9537
Half Precision Score
14050
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 14 2025 12:45 AM |
| 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 ICE |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE WIFI7 ICE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265KF |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3519
654.3 IPS |
|
|
Image Classification (HP)
|
100% |
6756
1.26 KIPS |
|
|
Image Classification (Q)
|
56% |
6091
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4649
75.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2948
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3964
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7369
8.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
34399
40.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
75183
88.1 IPS |
|
|
Object Detection (SP)
|
100% |
2978
236.2 IPS |
|
|
Object Detection (HP)
|
100% |
5683
450.7 IPS |
|
|
Object Detection (Q)
|
87% |
9668
775.9 IPS |
|
|
Face Detection (SP)
|
100% |
8456
100.5 IPS |
|
|
Face Detection (HP)
|
100% |
16737
198.9 IPS |
|
|
Face Detection (Q)
|
100% |
28643
340.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8250
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
18030
138.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
33786
262.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19748
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
50489
64.9 IPS |
|
|
Style Transfer (Q)
|
98% |
94541
121.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3934
145.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14216
524.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25222
934.1 IPS |
|
|
Text Classification (SP)
|
100% |
3348
4.47 KIPS |
|
|
Text Classification (HP)
|
100% |
1782
2.38 KIPS |
|
|
Text Classification (Q)
|
92% |
1758
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4119
70.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4146
71.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4212
72.6 IPS |
