iPad16,2
Geekbench AI Score
3848
Single Precision Score
25265
Half Precision Score
34180
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 17 2025 03:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad16,2 |
| Model ID | iPad16,2 |
| Motherboard | J411AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1593
296.3 IPS |
|
|
Image Classification (HP)
|
100% |
9712
1.81 KIPS |
|
|
Image Classification (Q)
|
97% |
12757
2.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1577
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16859
273.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21610
350.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7431
8.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
104973
122.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
199443
233.8 IPS |
|
|
Object Detection (SP)
|
100% |
1683
133.5 IPS |
|
|
Object Detection (HP)
|
100% |
12306
976.1 IPS |
|
|
Object Detection (Q)
|
91% |
17430
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3157
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
37334
443.6 IPS |
|
|
Face Detection (Q)
|
100% |
50880
604.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6747
52.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
72759
560.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
104799
819.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20925
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
201529
259.1 IPS |
|
|
Style Transfer (Q)
|
96% |
242866
313.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4719
174.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30291
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52978
1.96 KIPS |
|
|
Text Classification (SP)
|
100% |
3168
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5256
7.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5258
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3407
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5749
99.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6296
108.8 IPS |
