iPad16,5
Geekbench AI Score
4796
Single Precision Score
34372
Half Precision Score
47907
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 08:51 AM |
| Views | 1 |
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% |
2016
375.0 IPS |
|
|
Image Classification (HP)
|
100% |
17288
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
24356
4.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2093
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16475
267.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
20659
334.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10069
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123751
144.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
232779
272.8 IPS |
|
|
Object Detection (SP)
|
100% |
2232
177.1 IPS |
|
|
Object Detection (HP)
|
100% |
18296
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25843
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
3940
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
42072
499.9 IPS |
|
|
Face Detection (Q)
|
100% |
60720
721.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8291
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98660
760.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
168660
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25130
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
170199
218.8 IPS |
|
|
Style Transfer (Q)
|
96% |
202786
261.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5831
215.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49008
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84817
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3494
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
6296
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6636
8.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
4068
70.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16378
282.1 IPS |
|
|
Machine Translation (Q)
|
98% |
17998
311.0 IPS |
