iPad16,2
Geekbench AI Score
4065
Single Precision Score
4657
Half Precision Score
4832
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 09:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
851
158.3 IPS |
|
|
Image Classification (HP)
|
100% |
831
154.5 IPS |
|
|
Image Classification (Q)
|
96% |
1337
249.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3547
57.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3921
63.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3769
61.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11782
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
13443
15.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
12883
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.7 IPS |
|
|
Object Detection (HP)
|
100% |
1619
128.4 IPS |
|
|
Object Detection (Q)
|
92% |
1693
135.2 IPS |
|
|
Face Detection (SP)
|
100% |
5081
60.4 IPS |
|
|
Face Detection (HP)
|
100% |
6553
77.9 IPS |
|
|
Face Detection (Q)
|
100% |
6443
76.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9946
76.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
11031
85.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9997
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25308
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29325
37.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29869
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4861
179.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4091
151.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4102
151.5 IPS |
|
|
Text Classification (SP)
|
100% |
3230
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5537
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5410
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1089
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1410
24.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1480
25.6 IPS |
