Gigabyte Technology Co., Ltd. Z890 AORUS MASTER
Geekbench AI Score
6896
Single Precision Score
9921
Half Precision Score
15334
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | leibovitz |
| Upload Date | September 07 2025 02:25 PM |
| Views | 6 |
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 | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4008
745.4 IPS |
|
|
Image Classification (HP)
|
100% |
6844
1.27 KIPS |
|
|
Image Classification (Q)
|
100% |
9657
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5751
93.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2931
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3919
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8235
9.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
34684
40.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
74968
87.8 IPS |
|
|
Object Detection (SP)
|
100% |
3908
310.0 IPS |
|
|
Object Detection (HP)
|
100% |
6120
485.4 IPS |
|
|
Object Detection (Q)
|
87% |
10025
804.6 IPS |
|
|
Face Detection (SP)
|
100% |
12411
147.5 IPS |
|
|
Face Detection (HP)
|
100% |
17692
210.2 IPS |
|
|
Face Detection (Q)
|
100% |
32118
381.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10456
80.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
18870
145.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
35320
274.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24262
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
52301
67.2 IPS |
|
|
Style Transfer (Q)
|
98% |
98122
126.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5220
192.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14293
527.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23916
885.7 IPS |
|
|
Text Classification (SP)
|
100% |
3925
5.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2016
2.69 KIPS |
|
|
Text Classification (Q)
|
92% |
2142
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5089
87.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4314
74.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4432
76.3 IPS |
