iPad Air (5th generation)
Geekbench AI Score
3084
Single Precision Score
14509
Half Precision Score
14378
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Faust1977 |
| Upload Date | November 05 2025 09:32 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1304
242.4 IPS |
|
|
Image Classification (HP)
|
100% |
5882
1.09 KIPS |
|
|
Image Classification (Q)
|
96% |
5876
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1306
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8816
142.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9200
149.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5998
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
67725
79.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
64281
75.3 IPS |
|
|
Object Detection (SP)
|
100% |
1381
109.6 IPS |
|
|
Object Detection (HP)
|
99% |
6564
522.2 IPS |
|
|
Object Detection (Q)
|
91% |
6740
538.6 IPS |
|
|
Face Detection (SP)
|
100% |
2975
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
14169
168.4 IPS |
|
|
Face Detection (Q)
|
100% |
13209
157.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5461
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
43033
331.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
44150
345.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16451
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
119542
153.7 IPS |
|
|
Style Transfer (Q)
|
96% |
110779
143.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3449
127.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23032
850.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22827
842.9 IPS |
|
|
Text Classification (SP)
|
100% |
2413
3.22 KIPS |
|
|
Text Classification (HP)
|
99% |
4249
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4239
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2488
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2515
43.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2579
44.6 IPS |
