iPad Air (5th generation)
Geekbench AI Score
5246
Single Precision Score
6056
Half Precision Score
5643
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | OXO |
| Upload Date | September 27 2025 11:03 PM |
| Views | 5 |
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% |
2326
432.6 IPS |
|
|
Image Classification (HP)
|
100% |
2272
422.4 IPS |
|
|
Image Classification (Q)
|
96% |
2232
416.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4018
65.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4310
69.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4122
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16985
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18885
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
18177
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
2660
211.0 IPS |
|
|
Object Detection (HP)
|
100% |
2701
214.2 IPS |
|
|
Object Detection (Q)
|
92% |
2480
198.0 IPS |
|
|
Face Detection (SP)
|
100% |
6777
80.5 IPS |
|
|
Face Detection (HP)
|
100% |
8517
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
7101
84.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12379
95.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13924
107.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
12666
98.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28845
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35246
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
34279
44.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6372
235.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7176
265.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5951
219.8 IPS |
|
|
Text Classification (SP)
|
100% |
2423
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
4173
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4176
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1002
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1062
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1031
17.8 IPS |
