Gigabyte Technology Co., Ltd. Z890 AORUS ELITE WIFI7
Geekbench AI Score
6606
Single Precision Score
2542
Half Precision Score
10306
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 07 2026 08:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| 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 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% |
5375
999.6 IPS |
|
|
Image Classification (HP)
|
100% |
840
156.2 IPS |
|
|
Image Classification (Q)
|
99% |
9839
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2481
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1545
25.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4256
69.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14139
16.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
8509
9.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
45810
53.7 IPS |
|
|
Object Detection (SP)
|
100% |
4622
366.6 IPS |
|
|
Object Detection (HP)
|
100% |
1138
90.3 IPS |
|
|
Object Detection (Q)
|
86% |
11353
912.4 IPS |
|
|
Face Detection (SP)
|
100% |
11946
141.9 IPS |
|
|
Face Detection (HP)
|
100% |
2550
30.3 IPS |
|
|
Face Detection (Q)
|
97% |
13191
157.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15346
118.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3547
27.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
26104
208.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29882
38.4 IPS |
|
|
Style Transfer (HP)
|
100% |
22053
28.3 IPS |
|
|
Style Transfer (Q)
|
98% |
28102
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5307
196.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3809
140.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7013
259.7 IPS |
|
|
Text Classification (SP)
|
100% |
2036
2.72 KIPS |
|
|
Text Classification (HP)
|
100% |
988
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1937
2.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3070
52.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1197
20.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4723
94.9 IPS |
