GIGABYTE AORUS 17X AZF
Geekbench AI Score
2611
Single Precision Score
804
Half Precision Score
3293
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 23 2024 11:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13980HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | GIGABYTE AORUS 17X AZF |
| Motherboard | GIGABYTE AORUS 17X AZF |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13980HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2005
372.8 IPS |
|
|
Image Classification (HP)
|
100% |
266
49.4 IPS |
|
|
Image Classification (Q)
|
99% |
3250
606.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1053
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
465
7.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
1547
25.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5628
6.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2660
3.10 IPS |
|
|
Pose Estimation (Q)
|
94% |
16531
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
1964
155.8 IPS |
|
|
Object Detection (HP)
|
100% |
353
28.0 IPS |
|
|
Object Detection (Q)
|
86% |
3166
254.5 IPS |
|
|
Face Detection (SP)
|
100% |
5889
70.0 IPS |
|
|
Face Detection (HP)
|
100% |
899
10.7 IPS |
|
|
Face Detection (Q)
|
97% |
4594
54.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6476
49.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1086
8.37 IPS |
|
|
Depth Estimation (Q)
|
78% |
9075
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12467
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
6484
8.34 IPS |
|
|
Style Transfer (Q)
|
98% |
16800
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1846
68.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1151
42.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2115
78.3 IPS |
|
|
Text Classification (SP)
|
100% |
768
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
337
449.4 IPS |
|
|
Text Classification (Q)
|
97% |
267
357.9 IPS |
|
|
Machine Translation (SP)
|
100% |
939
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
396
6.82 IPS |
|
|
Machine Translation (Q)
|
65% |
1445
29.0 IPS |
