iPad Air (5th generation)
Geekbench AI Score
5106
Single Precision Score
5963
Half Precision Score
5529
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 23 2025 02:20 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1959
364.4 IPS |
|
|
Image Classification (HP)
|
100% |
2197
408.6 IPS |
|
|
Image Classification (Q)
|
96% |
1978
369.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3984
64.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4240
68.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4078
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17020
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18894
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
18073
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
2656
210.6 IPS |
|
|
Object Detection (HP)
|
100% |
2680
212.6 IPS |
|
|
Object Detection (Q)
|
92% |
2428
193.8 IPS |
|
|
Face Detection (SP)
|
100% |
6689
79.5 IPS |
|
|
Face Detection (HP)
|
100% |
8416
100.0 IPS |
|
|
Face Detection (Q)
|
100% |
7043
83.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12204
94.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
13808
106.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
12735
99.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29083
37.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35319
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
34064
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6386
235.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7323
270.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6127
226.2 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3979
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3948
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
985
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1008
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1021
17.6 IPS |
