Gigabyte Technology Co., Ltd. Z890 AORUS MASTER
Geekbench AI Score
6442
Single Precision Score
10261
Half Precision Score
15747
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | airoas |
| Upload Date | September 10 2025 06:06 PM |
| Views | 8 |
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. Z890 AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS MASTER |
| Power Plan | High performance |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3778
702.7 IPS |
|
|
Image Classification (HP)
|
100% |
7021
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
9642
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5385
87.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2962
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3977
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7496
8.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
34963
40.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
75904
88.9 IPS |
|
|
Object Detection (SP)
|
100% |
3838
304.4 IPS |
|
|
Object Detection (HP)
|
100% |
6292
499.1 IPS |
|
|
Object Detection (Q)
|
87% |
10154
814.9 IPS |
|
|
Face Detection (SP)
|
100% |
11933
141.8 IPS |
|
|
Face Detection (HP)
|
100% |
17854
212.1 IPS |
|
|
Face Detection (Q)
|
100% |
33029
392.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9945
76.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
19912
153.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
36801
286.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21962
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
55370
71.2 IPS |
|
|
Style Transfer (Q)
|
98% |
101761
131.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4601
169.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14327
529.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24416
904.2 IPS |
|
|
Text Classification (SP)
|
100% |
3715
4.96 KIPS |
|
|
Text Classification (HP)
|
100% |
2129
2.84 KIPS |
|
|
Text Classification (Q)
|
92% |
2207
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
4721
81.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4715
81.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4761
82.0 IPS |
