Gigabyte Technology Co., Ltd. Z890 AORUS MASTER
Geekbench AI Score
5166
Single Precision Score
6835
Half Precision Score
3508
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | airoas |
| Upload Date | September 10 2025 06:00 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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% |
2916
542.4 IPS |
|
|
Image Classification (HP)
|
100% |
4032
749.8 IPS |
|
|
Image Classification (Q)
|
99% |
2162
403.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3781
61.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5962
96.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2609
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10658
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17530
20.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
9311
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
3184
252.6 IPS |
|
|
Object Detection (HP)
|
100% |
4757
377.3 IPS |
|
|
Object Detection (Q)
|
86% |
2390
192.1 IPS |
|
|
Face Detection (SP)
|
100% |
6847
81.4 IPS |
|
|
Face Detection (HP)
|
100% |
10468
124.4 IPS |
|
|
Face Detection (Q)
|
97% |
4424
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10763
82.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
16720
129.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
7777
62.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28157
36.2 IPS |
|
|
Style Transfer (HP)
|
100% |
43867
56.4 IPS |
|
|
Style Transfer (Q)
|
98% |
22120
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5162
190.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7712
284.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3531
130.8 IPS |
|
|
Text Classification (SP)
|
100% |
1250
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
672
897.4 IPS |
|
|
Text Classification (Q)
|
97% |
734
982.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2703
46.6 IPS |
|
|
Machine Translation (HP)
|
96% |
2793
48.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1140
21.4 IPS |
