Gigabyte Technology Co., Ltd. Z890 EAGLE WIFI7
Geekbench AI Score
6940
Single Precision Score
2496
Half Precision Score
10386
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | budbrain |
| Upload Date | March 27 2025 04:35 PM |
| Views | 6 |
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 EAGLE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 EAGLE WIFI7 |
| Power Plan | Ausbalanciert |
| 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% |
5278
981.6 IPS |
|
|
Image Classification (HP)
|
100% |
827
153.8 IPS |
|
|
Image Classification (Q)
|
99% |
9887
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2620
42.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1531
24.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4586
74.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14380
16.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
8383
9.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
45641
53.5 IPS |
|
|
Object Detection (SP)
|
100% |
5040
399.8 IPS |
|
|
Object Detection (HP)
|
100% |
1116
88.5 IPS |
|
|
Object Detection (Q)
|
86% |
11753
944.6 IPS |
|
|
Face Detection (SP)
|
100% |
14682
174.5 IPS |
|
|
Face Detection (HP)
|
100% |
2569
30.5 IPS |
|
|
Face Detection (Q)
|
97% |
13339
159.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16095
124.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3439
26.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
25452
203.1 IPS |
|
|
Style Transfer (SP)
|
100% |
32387
41.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21569
27.7 IPS |
|
|
Style Transfer (Q)
|
98% |
32330
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5339
197.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3764
139.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5605
207.6 IPS |
|
|
Text Classification (SP)
|
100% |
1978
2.64 KIPS |
|
|
Text Classification (HP)
|
100% |
901
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1841
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3204
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1230
21.2 IPS |
|
|
Machine Translation (Q)
|
65% |
5306
106.6 IPS |
