Gigabyte Technology Co., Ltd. Z890 EAGLE WIFI7
Geekbench AI Score
5117
Single Precision Score
9421
Half Precision Score
13597
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 22 2024 12:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 EAGLE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 EAGLE WIFI7 |
| Power Plan | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245KF |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3279
609.8 IPS |
|
|
Image Classification (HP)
|
100% |
6637
1.23 KIPS |
|
|
Image Classification (Q)
|
56% |
5906
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3964
64.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2766
44.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3631
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5924
6.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
34025
39.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
72958
85.5 IPS |
|
|
Object Detection (SP)
|
100% |
3024
239.8 IPS |
|
|
Object Detection (HP)
|
100% |
5477
434.5 IPS |
|
|
Object Detection (Q)
|
87% |
8797
706.1 IPS |
|
|
Face Detection (SP)
|
100% |
9197
109.3 IPS |
|
|
Face Detection (HP)
|
100% |
15969
189.7 IPS |
|
|
Face Detection (Q)
|
100% |
25624
304.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7694
59.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18700
144.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
34156
265.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18036
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
51783
66.6 IPS |
|
|
Style Transfer (Q)
|
98% |
95131
122.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3633
134.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13732
507.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24970
924.7 IPS |
|
|
Text Classification (SP)
|
100% |
3135
4.18 KIPS |
|
|
Text Classification (HP)
|
100% |
2241
2.99 KIPS |
|
|
Text Classification (Q)
|
92% |
2181
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3642
62.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3386
58.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3462
59.6 IPS |
