Gigabyte Technology Co., Ltd. Z890 EAGLE WIFI7
Geekbench AI Score
7044
Single Precision Score
2587
Half Precision Score
11698
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 14 2025 10:39 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 EAGLE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 EAGLE WIFI7 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5768
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
858
159.5 IPS |
|
|
Image Classification (Q)
|
99% |
9627
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3017
48.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1558
25.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
17148
278.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14238
16.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
8476
9.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
47308
55.5 IPS |
|
|
Object Detection (SP)
|
100% |
5258
417.1 IPS |
|
|
Object Detection (HP)
|
100% |
1141
90.5 IPS |
|
|
Object Detection (Q)
|
86% |
10746
863.6 IPS |
|
|
Face Detection (SP)
|
100% |
15281
181.6 IPS |
|
|
Face Detection (HP)
|
100% |
2653
31.5 IPS |
|
|
Face Detection (Q)
|
97% |
13610
162.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16166
124.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3627
27.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
24545
195.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31684
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
20504
26.4 IPS |
|
|
Style Transfer (Q)
|
98% |
33076
42.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5136
189.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3655
135.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7083
262.3 IPS |
|
|
Text Classification (SP)
|
100% |
1857
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
1013
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1676
2.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3096
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1425
24.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4360
87.6 IPS |
