GIGABYTE AORUS 16X 9SG
Geekbench AI Score
3924
Single Precision Score
1522
Half Precision Score
7388
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 03:34 PM |
| Views | 4 |
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 | Rovnovha |
| 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% |
3218
598.4 IPS |
|
|
Image Classification (HP)
|
100% |
604
112.2 IPS |
|
|
Image Classification (Q)
|
99% |
5959
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1785
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
979
15.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8334
135.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6502
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
4226
4.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
21188
24.8 IPS |
|
|
Object Detection (SP)
|
100% |
2902
230.2 IPS |
|
|
Object Detection (HP)
|
100% |
704
55.8 IPS |
|
|
Object Detection (Q)
|
86% |
6173
496.1 IPS |
|
|
Face Detection (SP)
|
100% |
7773
92.4 IPS |
|
|
Face Detection (HP)
|
100% |
1553
18.5 IPS |
|
|
Face Detection (Q)
|
97% |
9466
112.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8394
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2120
16.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
14038
112.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15191
19.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10141
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
21905
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2744
101.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1933
71.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5417
200.6 IPS |
|
|
Text Classification (SP)
|
100% |
1543
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
729
973.1 IPS |
|
|
Text Classification (Q)
|
97% |
1503
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1904
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
808
13.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3150
63.3 IPS |
