GIGABYTE AORUS 16X 9SG
Geekbench AI Score
3188
Single Precision Score
713
Half Precision Score
4561
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | busralcinar |
| Upload Date | September 16 2024 07:07 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13650HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | GIGABYTE AORUS 16X 9SG |
| Motherboard | GIGABYTE AORUS 16X 9SG |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13650HX |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1849
343.9 IPS |
|
|
Image Classification (HP)
|
100% |
140
26.1 IPS |
|
|
Image Classification (Q)
|
99% |
3541
660.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1770
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
257
4.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
2974
48.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6708
7.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
3581
4.18 IPS |
|
|
Pose Estimation (Q)
|
95% |
20977
24.6 IPS |
|
|
Object Detection (SP)
|
100% |
2125
168.6 IPS |
|
|
Object Detection (HP)
|
100% |
191
15.2 IPS |
|
|
Object Detection (Q)
|
88% |
1860
149.1 IPS |
|
|
Face Detection (SP)
|
100% |
3110
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
267
3.17 IPS |
|
|
Face Detection (Q)
|
97% |
3904
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7238
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
829
6.39 IPS |
|
|
Depth Estimation (Q)
|
76% |
8455
68.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15063
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9918
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
20189
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2828
104.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1942
71.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3858
142.9 IPS |
|
|
Text Classification (SP)
|
100% |
1457
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
595
794.8 IPS |
|
|
Text Classification (Q)
|
97% |
1603
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1665
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
544
9.37 IPS |
|
|
Machine Translation (Q)
|
60% |
2304
51.4 IPS |
