iPad Air (5th generation)
Geekbench AI Score
5262
Single Precision Score
6146
Half Precision Score
5742
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 01:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Air (5th generation) |
| Model ID | iPad13,16 |
| Motherboard | J407AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2237
416.0 IPS |
|
|
Image Classification (HP)
|
100% |
2463
458.0 IPS |
|
|
Image Classification (Q)
|
96% |
2368
442.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4006
64.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4288
69.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4124
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17157
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19453
22.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
18845
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
2643
209.7 IPS |
|
|
Object Detection (HP)
|
100% |
2676
212.3 IPS |
|
|
Object Detection (Q)
|
92% |
2462
196.5 IPS |
|
|
Face Detection (SP)
|
100% |
6735
80.0 IPS |
|
|
Face Detection (HP)
|
100% |
8675
103.1 IPS |
|
|
Face Detection (Q)
|
100% |
7061
83.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12486
96.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14014
108.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
12776
99.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29305
37.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35359
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
34126
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6391
236.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7191
265.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6126
226.2 IPS |
|
|
Text Classification (SP)
|
100% |
2411
3.22 KIPS |
|
|
Text Classification (HP)
|
99% |
4228
5.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4204
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1056
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1071
18.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1085
18.8 IPS |
