iPad Air (5th generation)
Geekbench AI Score
5240
Single Precision Score
6112
Half Precision Score
5673
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 11:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2344
435.9 IPS |
|
|
Image Classification (HP)
|
100% |
2529
470.3 IPS |
|
|
Image Classification (Q)
|
96% |
2412
450.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4027
65.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4277
69.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4143
67.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16837
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19040
22.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
18205
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
2658
210.8 IPS |
|
|
Object Detection (HP)
|
100% |
2673
212.1 IPS |
|
|
Object Detection (Q)
|
92% |
2475
197.5 IPS |
|
|
Face Detection (SP)
|
100% |
6762
80.3 IPS |
|
|
Face Detection (HP)
|
100% |
8600
102.2 IPS |
|
|
Face Detection (Q)
|
100% |
6933
82.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12385
95.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13837
106.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
12852
100.4 IPS |
|
|
Style Transfer (SP)
|
100% |
28847
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35354
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
33627
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6425
237.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7128
263.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5889
217.5 IPS |
|
|
Text Classification (SP)
|
100% |
2396
3.20 KIPS |
|
|
Text Classification (HP)
|
99% |
4164
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4147
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
994
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1059
18.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1048
18.1 IPS |
