iPad Air (5th generation)
Geekbench AI Score
5167
Single Precision Score
5968
Half Precision Score
5573
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | timk |
| Upload Date | December 31 2025 04:04 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2180
405.4 IPS |
|
|
Image Classification (HP)
|
100% |
2143
398.5 IPS |
|
|
Image Classification (Q)
|
96% |
2124
396.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4001
64.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4238
68.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4091
66.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16907
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18842
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
18105
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
2669
211.7 IPS |
|
|
Object Detection (HP)
|
100% |
2697
214.0 IPS |
|
|
Object Detection (Q)
|
92% |
2462
196.5 IPS |
|
|
Face Detection (SP)
|
100% |
6682
79.4 IPS |
|
|
Face Detection (HP)
|
100% |
8423
100.1 IPS |
|
|
Face Detection (Q)
|
100% |
6956
82.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12193
93.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13973
107.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
12722
99.4 IPS |
|
|
Style Transfer (SP)
|
100% |
29116
37.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35157
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33878
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6406
236.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7234
267.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6179
228.2 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3950
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3912
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
986
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1052
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1031
17.8 IPS |
