Gigabyte Technology Co., Ltd. Z890 AORUS ELITE WIFI7
Geekbench AI Score
6644
Single Precision Score
2595
Half Precision Score
11090
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 17 2025 09:13 PM |
| Views | 1 |
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 | 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% |
5356
996.1 IPS |
|
|
Image Classification (HP)
|
100% |
851
158.3 IPS |
|
|
Image Classification (Q)
|
99% |
9781
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2473
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1632
26.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
15838
257.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13818
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8287
9.67 IPS |
|
|
Pose Estimation (Q)
|
94% |
42312
49.6 IPS |
|
|
Object Detection (SP)
|
100% |
4938
391.7 IPS |
|
|
Object Detection (HP)
|
100% |
1142
90.6 IPS |
|
|
Object Detection (Q)
|
86% |
10642
855.2 IPS |
|
|
Face Detection (SP)
|
100% |
14292
169.8 IPS |
|
|
Face Detection (HP)
|
100% |
2619
31.1 IPS |
|
|
Face Detection (Q)
|
97% |
13463
160.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14879
114.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3512
27.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
23828
190.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29880
38.4 IPS |
|
|
Style Transfer (HP)
|
100% |
20806
26.7 IPS |
|
|
Style Transfer (Q)
|
98% |
25446
32.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5042
186.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3676
135.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7139
264.3 IPS |
|
|
Text Classification (SP)
|
100% |
1865
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
1033
1.38 KIPS |
|
|
Text Classification (Q)
|
97% |
1595
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3104
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1455
25.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4343
87.3 IPS |
