Gigabyte Technology Co., Ltd. Z890 AORUS ELITE WIFI7
Geekbench AI Score
6167
Single Precision Score
10214
Half Precision Score
15703
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 22 2025 01:49 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 |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE WIFI7 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265K |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3842
714.5 IPS |
|
|
Image Classification (HP)
|
100% |
7052
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
9922
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4806
77.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2942
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3962
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6620
7.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
34867
40.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
75792
88.8 IPS |
|
|
Object Detection (SP)
|
100% |
3434
272.4 IPS |
|
|
Object Detection (HP)
|
100% |
6360
504.5 IPS |
|
|
Object Detection (Q)
|
87% |
10134
813.3 IPS |
|
|
Face Detection (SP)
|
100% |
9801
116.5 IPS |
|
|
Face Detection (HP)
|
100% |
17762
211.1 IPS |
|
|
Face Detection (Q)
|
100% |
33029
392.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9842
75.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19705
151.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
36174
281.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21841
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
54482
70.0 IPS |
|
|
Style Transfer (Q)
|
98% |
100281
129.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4679
172.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14404
531.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24103
892.6 IPS |
|
|
Text Classification (SP)
|
100% |
3811
5.09 KIPS |
|
|
Text Classification (HP)
|
100% |
2127
2.84 KIPS |
|
|
Text Classification (Q)
|
92% |
2191
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
5048
86.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4602
79.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4773
82.2 IPS |
