GIGABYTE AERO 14 OLED BMF
Geekbench AI Score
2689
Single Precision Score
1188
Half Precision Score
3565
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 12 2024 12:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | GIGABYTE AERO 14 OLED BMF |
| Motherboard | GIGABYTE AERO 14 OLED BMF |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1391
258.6 IPS |
|
|
Image Classification (HP)
|
100% |
466
86.7 IPS |
|
|
Image Classification (Q)
|
99% |
3138
585.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1549
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
866
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2334
37.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5406
6.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
3495
4.08 IPS |
|
|
Pose Estimation (Q)
|
95% |
17522
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
1607
127.5 IPS |
|
|
Object Detection (HP)
|
100% |
532
42.2 IPS |
|
|
Object Detection (Q)
|
88% |
1673
134.1 IPS |
|
|
Face Detection (SP)
|
100% |
3100
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
1208
14.4 IPS |
|
|
Face Detection (Q)
|
97% |
3624
43.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5460
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1587
12.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
6679
53.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12315
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8475
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
18017
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2261
83.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1600
59.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3363
124.5 IPS |
|
|
Text Classification (SP)
|
100% |
1386
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
584
778.9 IPS |
|
|
Text Classification (Q)
|
97% |
553
741.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1619
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
494
8.51 IPS |
|
|
Machine Translation (Q)
|
60% |
1906
42.5 IPS |
