GIGABYTE AERO 15 KD
Geekbench AI Score
1636
Single Precision Score
792
Half Precision Score
3815
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 06 2025 04:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | GIGABYTE AERO 15 KD |
| Motherboard | GIGABYTE AERO 15 KD |
| Power Plan | Smartmanager High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1239
230.3 IPS |
|
|
Image Classification (HP)
|
100% |
281
52.3 IPS |
|
|
Image Classification (Q)
|
99% |
3446
642.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
666
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
431
6.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
3901
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2405
2.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
2136
2.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
9896
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1218
96.6 IPS |
|
|
Object Detection (HP)
|
100% |
389
30.9 IPS |
|
|
Object Detection (Q)
|
86% |
3634
292.1 IPS |
|
|
Face Detection (SP)
|
100% |
2307
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
776
9.23 IPS |
|
|
Face Detection (Q)
|
97% |
4767
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3410
26.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1154
8.89 IPS |
|
|
Depth Estimation (Q)
|
78% |
7543
60.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5990
7.70 IPS |
|
|
Style Transfer (HP)
|
100% |
5253
6.75 IPS |
|
|
Style Transfer (Q)
|
98% |
8172
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1122
41.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
982
36.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3230
119.6 IPS |
|
|
Text Classification (SP)
|
100% |
924
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
482
643.6 IPS |
|
|
Text Classification (Q)
|
97% |
819
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1168
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
436
7.51 IPS |
|
|
Machine Translation (Q)
|
65% |
1740
35.0 IPS |
