iPad Air (5th generation)
Geekbench AI Score
3083
Single Precision Score
14163
Half Precision Score
14021
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 02:20 AM |
| Views | 1 |
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% |
1312
244.1 IPS |
|
|
Image Classification (HP)
|
100% |
5894
1.10 KIPS |
|
|
Image Classification (Q)
|
96% |
5807
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8813
142.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9165
148.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5999
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
65797
76.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
64816
76.0 IPS |
|
|
Object Detection (SP)
|
100% |
1374
109.0 IPS |
|
|
Object Detection (HP)
|
99% |
6568
522.5 IPS |
|
|
Object Detection (Q)
|
91% |
5984
478.1 IPS |
|
|
Face Detection (SP)
|
100% |
2972
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
12387
147.2 IPS |
|
|
Face Detection (Q)
|
100% |
11591
137.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5437
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
41652
320.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
43984
343.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16479
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
119314
153.4 IPS |
|
|
Style Transfer (Q)
|
96% |
110736
142.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3462
127.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22855
843.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23114
853.5 IPS |
|
|
Text Classification (SP)
|
100% |
2403
3.21 KIPS |
|
|
Text Classification (HP)
|
99% |
4193
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4175
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2473
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2454
42.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2611
45.1 IPS |
