iPad16,5
Geekbench AI Score
3267
Single Precision Score
18690
Half Precision Score
24544
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 03:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1623
301.8 IPS |
|
|
Image Classification (HP)
|
100% |
8891
1.65 KIPS |
|
|
Image Classification (Q)
|
97% |
10575
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
950
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6835
110.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
14022
227.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9652
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
107360
125.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
189449
222.0 IPS |
|
|
Object Detection (SP)
|
100% |
1845
146.4 IPS |
|
|
Object Detection (HP)
|
100% |
11317
897.7 IPS |
|
|
Object Detection (Q)
|
93% |
14063
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
2938
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
15595
185.3 IPS |
|
|
Face Detection (Q)
|
100% |
19490
231.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5726
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
62303
480.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
89766
701.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14953
19.2 IPS |
|
|
Style Transfer (HP)
|
100% |
159698
205.3 IPS |
|
|
Style Transfer (Q)
|
96% |
172653
222.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4883
180.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22390
826.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
33148
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
1831
2.44 KIPS |
|
|
Text Classification (HP)
|
71% |
6698
9.63 KIPS |
|
|
Text Classification (Q)
|
69% |
6665
9.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2249
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3028
52.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3010
52.0 IPS |
