Gigabyte Technology Co., Ltd. Z890M AORUS ELITE WIFI7 ICE
Geekbench AI Score
6434
Single Precision Score
2356
Half Precision Score
9968
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | stefanobolognini |
| Upload Date | April 17 2025 06:57 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890M AORUS ELITE WIFI7 ICE |
| Motherboard | Gigabyte Technology Co., Ltd. Z890M AORUS ELITE WIFI7 ICE |
| Power Plan | Prestazioni elevate |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265KF |
| 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% |
4813
895.0 IPS |
|
|
Image Classification (HP)
|
100% |
761
141.6 IPS |
|
|
Image Classification (Q)
|
99% |
9377
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2558
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1495
24.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4445
72.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13608
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
7517
8.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
43012
50.4 IPS |
|
|
Object Detection (SP)
|
100% |
4527
359.1 IPS |
|
|
Object Detection (HP)
|
100% |
1047
83.1 IPS |
|
|
Object Detection (Q)
|
86% |
10398
835.7 IPS |
|
|
Face Detection (SP)
|
100% |
13039
154.9 IPS |
|
|
Face Detection (HP)
|
100% |
2562
30.4 IPS |
|
|
Face Detection (Q)
|
97% |
13386
159.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15025
115.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3377
26.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
22787
181.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28775
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
18602
23.9 IPS |
|
|
Style Transfer (Q)
|
98% |
32917
42.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4912
181.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3248
119.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6726
249.1 IPS |
|
|
Text Classification (SP)
|
100% |
1866
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
955
1.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1804
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3104
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1180
20.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4266
85.7 IPS |
