Gigabyte Technology Co., Ltd. Z890 EAGLE
Geekbench AI Score
7735
Single Precision Score
2875
Half Precision Score
10808
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | vesseli |
| Upload Date | November 22 2025 10:13 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 EAGLE |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 EAGLE |
| Power Plan | Dynamic Boost 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 | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6191
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
988
183.7 IPS |
|
|
Image Classification (Q)
|
99% |
10502
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3168
51.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1739
28.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
12814
208.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16203
18.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
9484
11.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
51599
60.5 IPS |
|
|
Object Detection (SP)
|
100% |
5695
451.7 IPS |
|
|
Object Detection (HP)
|
100% |
1244
98.7 IPS |
|
|
Object Detection (Q)
|
86% |
11326
910.3 IPS |
|
|
Face Detection (SP)
|
100% |
15934
189.3 IPS |
|
|
Face Detection (HP)
|
100% |
2642
31.4 IPS |
|
|
Face Detection (Q)
|
97% |
13981
166.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17647
136.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3989
30.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
26739
213.4 IPS |
|
|
Style Transfer (SP)
|
100% |
35094
45.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23224
29.9 IPS |
|
|
Style Transfer (Q)
|
98% |
27391
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5674
209.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3988
147.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8043
297.8 IPS |
|
|
Text Classification (SP)
|
100% |
2152
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
1160
1.55 KIPS |
|
|
Text Classification (Q)
|
97% |
760
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3516
60.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1681
29.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4419
88.8 IPS |
