Gigabyte Technology Co., Ltd. Z890 AORUS MASTER
Geekbench AI Score
6828
Single Precision Score
2519
Half Precision Score
11609
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | leibovitz |
| Upload Date | September 07 2025 02:22 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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 | 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% |
5428
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
833
154.9 IPS |
|
|
Image Classification (Q)
|
99% |
8787
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2547
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1465
23.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
16473
267.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13535
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
8100
9.45 IPS |
|
|
Pose Estimation (Q)
|
94% |
47687
55.9 IPS |
|
|
Object Detection (SP)
|
100% |
5134
407.2 IPS |
|
|
Object Detection (HP)
|
100% |
1122
89.0 IPS |
|
|
Object Detection (Q)
|
86% |
11780
946.7 IPS |
|
|
Face Detection (SP)
|
100% |
14852
176.5 IPS |
|
|
Face Detection (HP)
|
100% |
2511
29.8 IPS |
|
|
Face Detection (Q)
|
97% |
13834
164.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16331
125.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3440
26.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
24442
195.0 IPS |
|
|
Style Transfer (SP)
|
100% |
31800
40.9 IPS |
|
|
Style Transfer (HP)
|
100% |
20223
26.0 IPS |
|
|
Style Transfer (Q)
|
98% |
33963
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5293
195.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3516
129.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6993
258.9 IPS |
|
|
Text Classification (SP)
|
100% |
1833
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
1033
1.38 KIPS |
|
|
Text Classification (Q)
|
97% |
1546
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3067
52.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1465
25.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4406
88.5 IPS |
