iPad Air (5th generation)
Geekbench AI Score
2211
Single Precision Score
3552
Half Precision Score
2851
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | April 01 2025 12:25 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
932
173.3 IPS |
|
|
Image Classification (HP)
|
100% |
1398
260.0 IPS |
|
|
Image Classification (Q)
|
96% |
987
184.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
988
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1542
25.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1667
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4283
5.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
9043
10.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
7749
9.08 IPS |
|
|
Object Detection (SP)
|
100% |
1008
80.0 IPS |
|
|
Object Detection (HP)
|
97% |
1597
127.1 IPS |
|
|
Object Detection (Q)
|
94% |
1161
92.5 IPS |
|
|
Face Detection (SP)
|
100% |
2192
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
3754
44.6 IPS |
|
|
Face Detection (Q)
|
100% |
2089
24.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3846
29.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
7269
56.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
4805
37.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11493
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
17566
22.6 IPS |
|
|
Style Transfer (Q)
|
96% |
14276
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2535
93.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2858
105.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2134
78.8 IPS |
|
|
Text Classification (SP)
|
100% |
1531
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
2583
3.45 KIPS |
|
|
Text Classification (Q)
|
93% |
2571
3.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1875
32.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2904
50.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3054
52.8 IPS |
