iPad Air (5th generation)
Geekbench AI Score
3211
Single Precision Score
15650
Half Precision Score
15272
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 14 2025 11:03 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1421
264.2 IPS |
|
|
Image Classification (HP)
|
100% |
6229
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5815
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1365
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9670
156.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10006
162.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6482
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
68733
80.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
67261
78.8 IPS |
|
|
Object Detection (SP)
|
100% |
1499
118.9 IPS |
|
|
Object Detection (HP)
|
99% |
7175
570.8 IPS |
|
|
Object Detection (Q)
|
91% |
6636
530.3 IPS |
|
|
Face Detection (SP)
|
100% |
3013
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
16430
195.2 IPS |
|
|
Face Detection (Q)
|
100% |
15148
180.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5692
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
46746
360.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
46653
364.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16954
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
119804
154.0 IPS |
|
|
Style Transfer (Q)
|
96% |
111921
144.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3684
136.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22958
847.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23447
865.8 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3999
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3963
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2527
43.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3513
60.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3617
62.5 IPS |
