GIGABYTE AORUS 17X AZF
Geekbench AI Score
4074
Single Precision Score
1277
Half Precision Score
5376
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 23 2024 11:05 PM |
| Views | 1 |
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% |
3038
565.0 IPS |
|
|
Image Classification (HP)
|
100% |
416
77.3 IPS |
|
|
Image Classification (Q)
|
99% |
5110
953.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1747
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
768
12.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2712
44.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8605
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
3734
4.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
25340
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
3041
241.2 IPS |
|
|
Object Detection (HP)
|
100% |
584
46.3 IPS |
|
|
Object Detection (Q)
|
86% |
4849
389.7 IPS |
|
|
Face Detection (SP)
|
100% |
8739
103.8 IPS |
|
|
Face Detection (HP)
|
100% |
1597
19.0 IPS |
|
|
Face Detection (Q)
|
97% |
8326
99.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9391
72.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1661
12.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
14308
114.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18514
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9321
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
23285
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2973
109.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1738
64.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4053
150.1 IPS |
|
|
Text Classification (SP)
|
100% |
1227
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
567
756.2 IPS |
|
|
Text Classification (Q)
|
97% |
458
612.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1637
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
682
11.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2303
46.3 IPS |
