iPad Air (5th generation)
Geekbench AI Score
2173
Single Precision Score
11730
Half Precision Score
11534
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | May 17 2025 02:28 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
922
171.4 IPS |
|
|
Image Classification (HP)
|
100% |
4891
909.5 IPS |
|
|
Image Classification (Q)
|
96% |
4633
865.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
969
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7579
122.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7907
128.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4289
5.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
48243
56.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
47037
55.1 IPS |
|
|
Object Detection (SP)
|
100% |
989
78.5 IPS |
|
|
Object Detection (HP)
|
99% |
5260
418.4 IPS |
|
|
Object Detection (Q)
|
91% |
5008
400.2 IPS |
|
|
Face Detection (SP)
|
100% |
2168
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
11609
137.9 IPS |
|
|
Face Detection (Q)
|
100% |
11164
132.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3686
28.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35818
276.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
36604
286.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11296
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
92053
118.3 IPS |
|
|
Style Transfer (Q)
|
96% |
86668
111.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2488
91.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18013
665.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18056
666.7 IPS |
|
|
Text Classification (SP)
|
100% |
1537
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
2672
3.57 KIPS |
|
|
Text Classification (Q)
|
93% |
2660
3.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1802
31.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2847
49.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2841
49.1 IPS |
