GIGABYTE AERO 16 YE5
Geekbench AI Score
1693
Single Precision Score
690
Half Precision Score
3190
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Advanture2go |
| Upload Date | June 09 2025 09:26 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
1179
219.2 IPS |
|
|
Image Classification (HP)
|
100% |
208
38.7 IPS |
|
|
Image Classification (Q)
|
99% |
2845
530.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
739
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
378
6.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
1622
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2133
2.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
1529
1.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
7851
9.20 IPS |
|
|
Object Detection (SP)
|
100% |
1152
91.4 IPS |
|
|
Object Detection (HP)
|
100% |
269
21.4 IPS |
|
|
Object Detection (Q)
|
86% |
2800
225.0 IPS |
|
|
Face Detection (SP)
|
100% |
3872
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
696
8.27 IPS |
|
|
Face Detection (Q)
|
97% |
4001
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3200
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
827
6.37 IPS |
|
|
Depth Estimation (Q)
|
78% |
6317
50.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5729
7.36 IPS |
|
|
Style Transfer (HP)
|
100% |
7302
9.39 IPS |
|
|
Style Transfer (Q)
|
98% |
10915
14.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1105
40.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1387
51.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1769
65.5 IPS |
|
|
Text Classification (SP)
|
100% |
845
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
334
445.5 IPS |
|
|
Text Classification (Q)
|
97% |
970
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1367
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
390
6.72 IPS |
|
|
Machine Translation (Q)
|
65% |
2278
45.8 IPS |
