iPad16,2
Geekbench AI Score
3851
Single Precision Score
6924
Half Precision Score
5685
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 04:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1619
301.1 IPS |
|
|
Image Classification (HP)
|
100% |
2959
550.2 IPS |
|
|
Image Classification (Q)
|
96% |
2023
377.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1596
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2342
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3066
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7359
8.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
16007
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13609
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1675
132.8 IPS |
|
|
Object Detection (HP)
|
97% |
3301
262.8 IPS |
|
|
Object Detection (Q)
|
94% |
2358
187.9 IPS |
|
|
Face Detection (SP)
|
100% |
3239
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
6890
81.9 IPS |
|
|
Face Detection (Q)
|
100% |
3873
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6709
51.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12956
100.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9056
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20652
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32976
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27476
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4531
167.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5599
206.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4345
160.4 IPS |
|
|
Text Classification (SP)
|
100% |
3264
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5517
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5552
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3402
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7615
131.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7622
131.7 IPS |
