Gigabyte Technology Co., Ltd. Z890 AERO G
Geekbench AI Score
7565
Single Precision Score
5251
Half Precision Score
18050
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ngless |
| Upload Date | June 26 2025 03:00 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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 AERO G |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AERO G |
| 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% |
4646
864.1 IPS |
|
|
Image Classification (HP)
|
100% |
3420
636.1 IPS |
|
|
Image Classification (Q)
|
100% |
11401
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5877
95.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2744
44.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
12666
205.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8889
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
5854
6.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
32646
38.2 IPS |
|
|
Object Detection (SP)
|
100% |
4398
348.8 IPS |
|
|
Object Detection (HP)
|
100% |
3391
269.0 IPS |
|
|
Object Detection (Q)
|
88% |
12607
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
13913
165.3 IPS |
|
|
Face Detection (HP)
|
100% |
10753
127.8 IPS |
|
|
Face Detection (Q)
|
100% |
32000
380.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11325
87.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8269
63.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
31084
241.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25842
33.2 IPS |
|
|
Style Transfer (HP)
|
100% |
17123
22.0 IPS |
|
|
Style Transfer (Q)
|
98% |
93961
121.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5507
203.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3771
139.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17895
662.7 IPS |
|
|
Text Classification (SP)
|
100% |
4230
5.65 KIPS |
|
|
Text Classification (HP)
|
100% |
2548
3.40 KIPS |
|
|
Text Classification (Q)
|
92% |
6315
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
6070
104.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5850
100.8 IPS |
|
|
Machine Translation (Q)
|
100% |
5851
100.8 IPS |
