GIGABYTE AERO 16 YE5
Geekbench AI Score
2909
Single Precision Score
2862
Half Precision Score
6053
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Advanture2go |
| Upload Date | June 09 2025 09:29 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i9-12900H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GIGABYTE AERO 16 YE5 |
| Motherboard | GIGABYTE AERO 16 YE5 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2630
489.2 IPS |
|
|
Image Classification (HP)
|
100% |
1996
371.1 IPS |
|
|
Image Classification (Q)
|
100% |
5163
960.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2599
42.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2404
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5015
81.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3405
3.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
2420
2.82 IPS |
|
|
Pose Estimation (Q)
|
96% |
6122
7.17 IPS |
|
|
Object Detection (SP)
|
100% |
1921
152.4 IPS |
|
|
Object Detection (HP)
|
100% |
1367
108.4 IPS |
|
|
Object Detection (Q)
|
88% |
4089
327.8 IPS |
|
|
Face Detection (SP)
|
100% |
6805
80.9 IPS |
|
|
Face Detection (HP)
|
100% |
4613
54.8 IPS |
|
|
Face Detection (Q)
|
100% |
7795
92.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2915
22.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4757
36.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
9196
71.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10247
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11808
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
24217
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1211
44.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1257
46.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7944
294.2 IPS |
|
|
Text Classification (SP)
|
100% |
2180
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
1925
2.57 KIPS |
|
|
Text Classification (Q)
|
92% |
2961
3.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1814
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3713
64.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2496
43.0 IPS |
