Gigabyte Technology Co., Ltd. Z890 AORUS ELITE WIFI7 ICE
Geekbench AI Score
5772
Single Precision Score
2088
Half Precision Score
8952
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | takuaaaa991 |
| Upload Date | October 02 2025 09:20 AM |
| Views | 9 |
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 ELITE WIFI7 ICE |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE WIFI7 ICE |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
4460
829.5 IPS |
|
|
Image Classification (HP)
|
100% |
736
136.9 IPS |
|
|
Image Classification (Q)
|
99% |
9005
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2204
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1185
19.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
8513
138.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14705
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
8814
10.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
47008
55.1 IPS |
|
|
Object Detection (SP)
|
100% |
2988
237.0 IPS |
|
|
Object Detection (HP)
|
100% |
835
66.2 IPS |
|
|
Object Detection (Q)
|
86% |
7655
615.3 IPS |
|
|
Face Detection (SP)
|
100% |
13546
161.0 IPS |
|
|
Face Detection (HP)
|
100% |
1213
14.4 IPS |
|
|
Face Detection (Q)
|
97% |
8502
101.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10058
77.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2939
22.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
18055
144.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30121
38.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19720
25.4 IPS |
|
|
Style Transfer (Q)
|
98% |
30159
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4679
172.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3505
129.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5134
190.1 IPS |
|
|
Text Classification (SP)
|
100% |
1960
2.62 KIPS |
|
|
Text Classification (HP)
|
100% |
858
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1481
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2527
43.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1163
20.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3405
68.4 IPS |
