Gigabyte Technology Co., Ltd. Z890 EAGLE WIFI7
Geekbench AI Score
5858
Single Precision Score
9600
Half Precision Score
14545
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 29 2025 08:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 EAGLE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 EAGLE WIFI7 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3859
717.6 IPS |
|
|
Image Classification (HP)
|
100% |
6410
1.19 KIPS |
|
|
Image Classification (Q)
|
100% |
8594
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4299
69.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9613
155.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
12407
201.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12151
14.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
11534
13.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
38659
45.3 IPS |
|
|
Object Detection (SP)
|
100% |
3550
281.6 IPS |
|
|
Object Detection (HP)
|
100% |
6151
487.9 IPS |
|
|
Object Detection (Q)
|
88% |
9740
780.5 IPS |
|
|
Face Detection (SP)
|
100% |
9183
109.1 IPS |
|
|
Face Detection (HP)
|
100% |
17485
207.8 IPS |
|
|
Face Detection (Q)
|
100% |
26517
315.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12552
96.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
22155
171.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
27002
209.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29704
38.2 IPS |
|
|
Style Transfer (HP)
|
100% |
43251
55.6 IPS |
|
|
Style Transfer (Q)
|
98% |
91047
117.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5224
192.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9135
337.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15756
583.5 IPS |
|
|
Text Classification (SP)
|
71% |
1698
2.46 KIPS |
|
|
Text Classification (HP)
|
71% |
2566
3.71 KIPS |
|
|
Text Classification (Q)
|
92% |
2659
3.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2190
37.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3874
66.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3866
66.8 IPS |
