iPad Air (5th generation)
Geekbench AI Score
3084
Single Precision Score
14294
Half Precision Score
13871
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 05 2026 10:49 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1312
244.0 IPS |
|
|
Image Classification (HP)
|
100% |
5861
1.09 KIPS |
|
|
Image Classification (Q)
|
96% |
5582
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1301
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8835
143.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9048
146.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6012
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
66565
77.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
64308
75.4 IPS |
|
|
Object Detection (SP)
|
100% |
1380
109.5 IPS |
|
|
Object Detection (HP)
|
99% |
6490
516.3 IPS |
|
|
Object Detection (Q)
|
91% |
6022
481.2 IPS |
|
|
Face Detection (SP)
|
100% |
2995
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
13146
156.2 IPS |
|
|
Face Detection (Q)
|
100% |
11688
138.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5472
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
42204
325.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
43118
336.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16491
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
118919
152.9 IPS |
|
|
Style Transfer (Q)
|
96% |
110729
142.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3456
127.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22931
846.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22835
843.2 IPS |
|
|
Text Classification (SP)
|
100% |
2391
3.19 KIPS |
|
|
Text Classification (HP)
|
99% |
4238
5.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4155
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2461
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2483
42.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2548
44.0 IPS |
