Gigabyte Technology Co., Ltd. Z890 AORUS PRO ICE
Geekbench AI Score
7549
Single Precision Score
2759
Half Precision Score
12957
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Hequaqua |
| Upload Date | November 28 2025 09:45 PM |
| Views | 8 |
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 PRO ICE |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS PRO ICE |
| 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% |
6138
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
927
172.3 IPS |
|
|
Image Classification (Q)
|
99% |
10203
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2693
43.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1722
27.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
18004
292.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14941
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8798
10.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
50618
59.3 IPS |
|
|
Object Detection (SP)
|
100% |
5913
469.0 IPS |
|
|
Object Detection (HP)
|
100% |
1217
96.5 IPS |
|
|
Object Detection (Q)
|
86% |
12799
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
17439
207.2 IPS |
|
|
Face Detection (HP)
|
100% |
2884
34.3 IPS |
|
|
Face Detection (Q)
|
97% |
14280
170.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18095
139.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3791
29.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
29361
234.3 IPS |
|
|
Style Transfer (SP)
|
100% |
35793
46.0 IPS |
|
|
Style Transfer (HP)
|
100% |
22423
28.8 IPS |
|
|
Style Transfer (Q)
|
98% |
42278
54.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5463
201.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3773
139.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7524
278.6 IPS |
|
|
Text Classification (SP)
|
100% |
2005
2.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1093
1.46 KIPS |
|
|
Text Classification (Q)
|
97% |
1743
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3330
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1483
25.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4823
96.9 IPS |
