Gigabyte Technology Co., Ltd. Z890 AORUS MASTER
Geekbench AI Score
6314
Single Precision Score
2269
Half Precision Score
10506
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | airoas |
| Upload Date | September 10 2025 06:04 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 | 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% |
4920
915.0 IPS |
|
|
Image Classification (HP)
|
100% |
681
126.6 IPS |
|
|
Image Classification (Q)
|
99% |
7998
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2753
44.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1337
21.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
16105
261.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11794
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
6473
7.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
38780
45.5 IPS |
|
|
Object Detection (SP)
|
100% |
4857
385.3 IPS |
|
|
Object Detection (HP)
|
100% |
1076
85.3 IPS |
|
|
Object Detection (Q)
|
86% |
10070
809.3 IPS |
|
|
Face Detection (SP)
|
100% |
14512
172.4 IPS |
|
|
Face Detection (HP)
|
100% |
2386
28.3 IPS |
|
|
Face Detection (Q)
|
97% |
12996
155.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13011
100.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3273
25.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
22543
179.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30827
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17938
23.1 IPS |
|
|
Style Transfer (Q)
|
98% |
30064
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4831
178.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3321
122.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5717
211.7 IPS |
|
|
Text Classification (SP)
|
100% |
1724
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
931
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1531
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2679
46.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1322
22.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4225
84.9 IPS |
