GIGABYTE AERO 15-X9
Geekbench AI Score
1169
Single Precision Score
1771
Half Precision Score
1705
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | SyameimaruKoa |
| Upload Date | October 19 2024 06:00 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | GIGABYTE AERO 15-X9 |
| Motherboard | GIGABYTE AERO 15-X9 |
| Power Plan | Smartmanager Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
766
142.5 IPS |
|
|
Image Classification (HP)
|
100% |
1218
226.6 IPS |
|
|
Image Classification (Q)
|
100% |
1123
208.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
869
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1555
25.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1488
24.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1843
2.15 IPS |
|
|
Pose Estimation (HP)
|
99% |
1761
2.06 IPS |
|
|
Pose Estimation (Q)
|
97% |
2738
3.21 IPS |
|
|
Object Detection (SP)
|
100% |
711
56.4 IPS |
|
|
Object Detection (HP)
|
99% |
1256
99.9 IPS |
|
|
Object Detection (Q)
|
88% |
1164
93.4 IPS |
|
|
Face Detection (SP)
|
100% |
1870
22.2 IPS |
|
|
Face Detection (HP)
|
100% |
3396
40.3 IPS |
|
|
Face Detection (Q)
|
97% |
3192
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2205
17.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
3859
29.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
3605
28.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5331
6.85 IPS |
|
|
Style Transfer (HP)
|
100% |
7568
9.73 IPS |
|
|
Style Transfer (Q)
|
98% |
6647
8.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
927
34.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1654
61.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1615
59.8 IPS |
|
|
Text Classification (SP)
|
71% |
521
754.3 IPS |
|
|
Text Classification (HP)
|
71% |
601
869.2 IPS |
|
|
Text Classification (Q)
|
92% |
434
583.6 IPS |
|
|
Machine Translation (SP)
|
100% |
515
8.87 IPS |
|
|
Machine Translation (HP)
|
97% |
738
12.8 IPS |
|
|
Machine Translation (Q)
|
98% |
731
12.6 IPS |
