iPad16,5
Geekbench AI Score
4680
Single Precision Score
37515
Half Precision Score
52288
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | amadeus_ha |
| Upload Date | November 08 2024 11:30 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1948
362.3 IPS |
|
|
Image Classification (HP)
|
100% |
17599
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
26714
4.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2086
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22025
357.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30262
490.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10013
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123676
144.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
232986
273.1 IPS |
|
|
Object Detection (SP)
|
100% |
2211
175.3 IPS |
|
|
Object Detection (HP)
|
100% |
18595
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26001
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
3969
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
42977
510.7 IPS |
|
|
Face Detection (Q)
|
100% |
63870
758.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8299
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99083
763.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
168146
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25249
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
233375
300.0 IPS |
|
|
Style Transfer (Q)
|
96% |
297138
383.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5864
216.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50571
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85854
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
2992
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
7318
9.77 KIPS |
|
|
Text Classification (Q)
|
93% |
6170
8.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3842
66.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16843
290.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18455
318.9 IPS |
