Gigabyte Technology Co., Ltd. Z890 AORUS MASTER
Geekbench AI Score
6485
Single Precision Score
4429
Half Precision Score
16219
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | airoas |
| Upload Date | September 10 2025 06:12 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| 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% |
4045
752.2 IPS |
|
|
Image Classification (HP)
|
100% |
2813
523.1 IPS |
|
|
Image Classification (Q)
|
100% |
9951
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5229
84.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2352
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
12101
196.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7487
8.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
4932
5.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
29684
34.8 IPS |
|
|
Object Detection (SP)
|
100% |
3758
298.1 IPS |
|
|
Object Detection (HP)
|
100% |
2817
223.5 IPS |
|
|
Object Detection (Q)
|
88% |
10975
879.8 IPS |
|
|
Face Detection (SP)
|
100% |
11779
140.0 IPS |
|
|
Face Detection (HP)
|
100% |
8877
105.5 IPS |
|
|
Face Detection (Q)
|
100% |
29099
345.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9708
74.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6937
53.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
29029
225.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22087
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
14149
18.2 IPS |
|
|
Style Transfer (Q)
|
98% |
85835
110.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4808
177.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3373
124.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16138
597.6 IPS |
|
|
Text Classification (SP)
|
100% |
3787
5.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2211
2.95 KIPS |
|
|
Text Classification (Q)
|
92% |
5634
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4809
82.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4863
83.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4871
83.9 IPS |
