iPad Air (5th generation)
Geekbench AI Score
5198
Single Precision Score
6091
Half Precision Score
5692
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | tocophonic |
| Upload Date | November 18 2025 11:13 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2173
404.1 IPS |
|
|
Image Classification (HP)
|
100% |
2447
455.1 IPS |
|
|
Image Classification (Q)
|
96% |
2427
453.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4004
64.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4271
69.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4132
67.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17014
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18907
22.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
18195
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
2660
211.0 IPS |
|
|
Object Detection (HP)
|
100% |
2694
213.7 IPS |
|
|
Object Detection (Q)
|
92% |
2449
195.5 IPS |
|
|
Face Detection (SP)
|
100% |
6847
81.4 IPS |
|
|
Face Detection (HP)
|
100% |
8471
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
7108
84.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12414
95.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
13818
106.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
12588
98.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28839
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35320
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
34183
44.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6397
236.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7175
264.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5981
220.9 IPS |
|
|
Text Classification (SP)
|
100% |
2349
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4245
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4244
5.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
994
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1050
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1030
17.8 IPS |
