Gigabyte Technology Co., Ltd. Z790 AERO G
Geekbench AI Score
5974
Single Precision Score
5958
Half Precision Score
14101
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | baratta930 |
| Upload Date | March 01 2025 03:40 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 AERO G |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AERO G |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3746
696.6 IPS |
|
|
Image Classification (HP)
|
100% |
3955
735.4 IPS |
|
|
Image Classification (Q)
|
100% |
9831
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5093
82.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5068
82.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10393
168.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9479
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
9220
10.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
35503
41.6 IPS |
|
|
Object Detection (SP)
|
100% |
3373
267.5 IPS |
|
|
Object Detection (HP)
|
100% |
3372
267.5 IPS |
|
|
Object Detection (Q)
|
88% |
9669
775.1 IPS |
|
|
Face Detection (SP)
|
100% |
11143
132.4 IPS |
|
|
Face Detection (HP)
|
100% |
11081
131.7 IPS |
|
|
Face Detection (Q)
|
100% |
17688
210.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9891
76.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9860
76.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
26996
209.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24942
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24965
32.1 IPS |
|
|
Style Transfer (Q)
|
98% |
92746
119.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4982
184.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4951
182.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15588
577.3 IPS |
|
|
Text Classification (SP)
|
100% |
2830
3.78 KIPS |
|
|
Text Classification (HP)
|
100% |
2854
3.81 KIPS |
|
|
Text Classification (Q)
|
92% |
5619
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2449
42.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2350
40.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2285
39.4 IPS |
