Gigabyte Technology Co., Ltd. Z890M AORUS ELITE WIFI7 ICE
Geekbench AI Score
3416
Single Precision Score
2505
Half Precision Score
8681
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | dolpa_me |
| Upload Date | March 06 2026 09:00 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265KF |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.4 LTS |
| Model | Gigabyte Technology Co., Ltd. Z890M AORUS ELITE WIFI7 ICE |
| Motherboard | Gigabyte Technology Co., Ltd. Z890M AORUS ELITE WIFI7 ICE |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265KF |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 5.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 46.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2107
391.8 IPS |
|
|
Image Classification (HP)
|
100% |
1481
275.3 IPS |
|
|
Image Classification (Q)
|
100% |
5141
956.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2703
43.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1365
22.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5615
91.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4418
5.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
3035
3.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
15186
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
1555
123.3 IPS |
|
|
Object Detection (HP)
|
100% |
1286
102.0 IPS |
|
|
Object Detection (Q)
|
88% |
6074
486.9 IPS |
|
|
Face Detection (SP)
|
100% |
5787
68.8 IPS |
|
|
Face Detection (HP)
|
100% |
4683
55.6 IPS |
|
|
Face Detection (Q)
|
100% |
12405
147.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5246
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4015
30.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
14835
115.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13035
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
7678
9.87 IPS |
|
|
Style Transfer (Q)
|
98% |
39340
50.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2265
83.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1707
63.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8429
312.2 IPS |
|
|
Text Classification (SP)
|
100% |
1740
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
1603
2.14 KIPS |
|
|
Text Classification (Q)
|
92% |
5020
6.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3548
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3123
53.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2982
51.4 IPS |
