Gigabyte Technology Co., Ltd. Z890 EAGLE WIFI7
Geekbench AI Score
4996
Single Precision Score
9378
Half Precision Score
13508
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 22 2024 12:49 PM |
| Views | 2 |
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% |
3169
589.3 IPS |
|
|
Image Classification (HP)
|
100% |
6572
1.22 KIPS |
|
|
Image Classification (Q)
|
56% |
5894
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3995
64.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2774
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3624
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5984
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
33986
39.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
72632
85.1 IPS |
|
|
Object Detection (SP)
|
100% |
3045
241.6 IPS |
|
|
Object Detection (HP)
|
100% |
5480
434.7 IPS |
|
|
Object Detection (Q)
|
87% |
8842
709.7 IPS |
|
|
Face Detection (SP)
|
100% |
9145
108.7 IPS |
|
|
Face Detection (HP)
|
100% |
15941
189.4 IPS |
|
|
Face Detection (Q)
|
100% |
25674
305.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8031
61.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
18776
144.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
34393
267.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18060
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
51861
66.7 IPS |
|
|
Style Transfer (Q)
|
98% |
95275
122.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3806
140.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13635
503.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24035
890.1 IPS |
|
|
Text Classification (SP)
|
100% |
3164
4.22 KIPS |
|
|
Text Classification (HP)
|
100% |
2158
2.88 KIPS |
|
|
Text Classification (Q)
|
92% |
2136
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2630
45.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3396
58.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3416
58.8 IPS |
