iPad Air (5th generation)
Geekbench AI Score
5171
Single Precision Score
5959
Half Precision Score
5543
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 20 2025 10:59 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
2171
403.7 IPS |
|
|
Image Classification (HP)
|
100% |
2155
400.8 IPS |
|
|
Image Classification (Q)
|
96% |
1985
370.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4011
65.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4255
69.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4080
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16842
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18780
21.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
18026
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
2689
213.3 IPS |
|
|
Object Detection (HP)
|
100% |
2697
213.9 IPS |
|
|
Object Detection (Q)
|
92% |
2456
196.0 IPS |
|
|
Face Detection (SP)
|
100% |
6755
80.3 IPS |
|
|
Face Detection (HP)
|
100% |
8473
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
6989
83.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12236
94.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13937
107.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
12768
99.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28702
36.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34764
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
34132
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6375
235.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7264
268.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6133
226.5 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3974
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3983
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1000
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1026
17.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1027
17.8 IPS |
