Gigabyte Technology Co., Ltd. Z890M AORUS ELITE WIFI7
Geekbench AI Score
6404
Single Precision Score
9460
Half Precision Score
13632
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 29 2024 05:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890M AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z890M AORUS ELITE WIFI7 |
| Power Plan | Balanced |
| 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% |
4185
778.3 IPS |
|
|
Image Classification (HP)
|
100% |
6589
1.23 KIPS |
|
|
Image Classification (Q)
|
56% |
5861
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5103
82.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2762
44.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3632
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8181
9.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
33963
39.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
72876
85.4 IPS |
|
|
Object Detection (SP)
|
100% |
3802
301.5 IPS |
|
|
Object Detection (HP)
|
100% |
5422
430.0 IPS |
|
|
Object Detection (Q)
|
87% |
8704
698.5 IPS |
|
|
Face Detection (SP)
|
100% |
11863
141.0 IPS |
|
|
Face Detection (HP)
|
100% |
16078
191.0 IPS |
|
|
Face Detection (Q)
|
100% |
25435
302.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9704
74.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
18906
145.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
34602
269.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24534
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
52688
67.7 IPS |
|
|
Style Transfer (Q)
|
98% |
96923
125.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4907
181.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14061
519.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24591
910.7 IPS |
|
|
Text Classification (SP)
|
100% |
3963
5.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2247
3.00 KIPS |
|
|
Text Classification (Q)
|
92% |
2286
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3180
54.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3386
58.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3423
59.0 IPS |
