iPad16,2
Geekbench AI Score
4024
Single Precision Score
7044
Half Precision Score
5743
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Degeho |
| Upload Date | September 09 2025 10:19 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| Model | iPad16,2 |
| Model ID | iPad16,2 |
| Motherboard | J411AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.77 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1737
323.1 IPS |
|
|
Image Classification (HP)
|
100% |
2974
553.0 IPS |
|
|
Image Classification (Q)
|
96% |
2040
381.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1643
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2389
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3071
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7981
9.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
16406
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14055
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1805
143.2 IPS |
|
|
Object Detection (HP)
|
97% |
3368
268.1 IPS |
|
|
Object Detection (Q)
|
94% |
2368
188.8 IPS |
|
|
Face Detection (SP)
|
100% |
3335
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
6983
83.0 IPS |
|
|
Face Detection (Q)
|
100% |
3865
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6964
53.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13045
100.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9114
71.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21363
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34109
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28182
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4881
180.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5766
212.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4450
164.3 IPS |
|
|
Text Classification (SP)
|
100% |
3270
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
5861
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5815
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3426
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7305
126.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7293
126.0 IPS |
