iPad Air (5th generation)
Geekbench AI Score
3076
Single Precision Score
14363
Half Precision Score
14071
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 25 2025 07:08 AM |
| Views | 3 |
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% |
1295
240.9 IPS |
|
|
Image Classification (HP)
|
100% |
6349
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5787
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8815
142.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9072
147.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6017
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
66211
77.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
64846
76.0 IPS |
|
|
Object Detection (SP)
|
100% |
1381
109.5 IPS |
|
|
Object Detection (HP)
|
99% |
6477
515.2 IPS |
|
|
Object Detection (Q)
|
91% |
6069
485.0 IPS |
|
|
Face Detection (SP)
|
100% |
2958
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
12561
149.3 IPS |
|
|
Face Detection (Q)
|
100% |
11943
141.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5456
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
42352
326.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
44034
344.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16496
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
119400
153.5 IPS |
|
|
Style Transfer (Q)
|
96% |
110711
142.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3450
127.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23039
850.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23639
872.9 IPS |
|
|
Text Classification (SP)
|
100% |
2381
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
4243
5.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4172
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2489
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2508
43.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2565
44.3 IPS |
