iPad16,2
Geekbench AI Score
4286
Single Precision Score
4683
Half Precision Score
4720
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 04:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1326
246.6 IPS |
|
|
Image Classification (HP)
|
100% |
1006
187.1 IPS |
|
|
Image Classification (Q)
|
96% |
1325
247.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3522
57.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3888
63.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3712
60.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11976
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
13589
15.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
13207
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1621
128.6 IPS |
|
|
Object Detection (HP)
|
100% |
1593
126.4 IPS |
|
|
Object Detection (Q)
|
92% |
1725
137.7 IPS |
|
|
Face Detection (SP)
|
100% |
4915
58.4 IPS |
|
|
Face Detection (HP)
|
100% |
6521
77.5 IPS |
|
|
Face Detection (Q)
|
100% |
6419
76.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10175
78.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
11141
85.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10238
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25963
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29698
38.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29233
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4930
182.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3906
144.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3616
133.5 IPS |
|
|
Text Classification (SP)
|
100% |
3283
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5603
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5553
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1098
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1270
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1271
22.0 IPS |
