iPad Air (5th generation)
Geekbench AI Score
3101
Single Precision Score
14314
Half Precision Score
14286
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | January 30 2026 08:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1302
242.1 IPS |
|
|
Image Classification (HP)
|
100% |
5586
1.04 KIPS |
|
|
Image Classification (Q)
|
96% |
5733
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1324
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8931
144.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9259
150.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5999
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
67449
78.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
64529
75.6 IPS |
|
|
Object Detection (SP)
|
100% |
1388
110.1 IPS |
|
|
Object Detection (HP)
|
99% |
6472
514.9 IPS |
|
|
Object Detection (Q)
|
91% |
6019
481.0 IPS |
|
|
Face Detection (SP)
|
100% |
2991
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
12789
152.0 IPS |
|
|
Face Detection (Q)
|
100% |
12942
153.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5441
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
42895
330.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
46488
363.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16484
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
120901
155.4 IPS |
|
|
Style Transfer (Q)
|
96% |
110731
142.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3510
129.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22866
844.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23339
861.8 IPS |
|
|
Text Classification (SP)
|
100% |
2417
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
4316
5.76 KIPS |
|
|
Text Classification (Q)
|
93% |
4276
5.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2521
43.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2534
43.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2584
44.6 IPS |
