Gigabyte Technology Co., Ltd. Z890M AORUS ELITE WIFI7 ICE
Geekbench AI Score
6128
Single Precision Score
9164
Half Precision Score
13263
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 22 2024 05:46 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 ICE |
| Motherboard | Gigabyte Technology Co., Ltd. Z890M AORUS ELITE WIFI7 ICE |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
4046
752.4 IPS |
|
|
Image Classification (HP)
|
100% |
6627
1.23 KIPS |
|
|
Image Classification (Q)
|
56% |
5791
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5122
83.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2717
44.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3569
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7930
9.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
33743
39.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
72742
85.2 IPS |
|
|
Object Detection (SP)
|
100% |
3678
291.8 IPS |
|
|
Object Detection (HP)
|
100% |
5341
423.6 IPS |
|
|
Object Detection (Q)
|
87% |
8661
695.1 IPS |
|
|
Face Detection (SP)
|
100% |
11033
131.1 IPS |
|
|
Face Detection (HP)
|
100% |
15143
179.9 IPS |
|
|
Face Detection (Q)
|
100% |
24527
291.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10070
77.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
17685
136.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
32916
256.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23465
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
49067
63.1 IPS |
|
|
Style Transfer (Q)
|
98% |
90686
116.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4811
177.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13745
507.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24284
899.3 IPS |
|
|
Text Classification (SP)
|
100% |
3857
5.15 KIPS |
|
|
Text Classification (HP)
|
100% |
2183
2.91 KIPS |
|
|
Text Classification (Q)
|
92% |
2217
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2554
44.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3266
56.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3283
56.6 IPS |
