iPad Air (5th generation)
Geekbench AI Score
3092
Single Precision Score
14945
Half Precision Score
14479
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | tocophonic |
| Upload Date | November 18 2025 11:15 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1310
243.5 IPS |
|
|
Image Classification (HP)
|
100% |
6383
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
5697
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1306
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9011
146.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9117
147.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6010
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
66455
77.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
65559
76.8 IPS |
|
|
Object Detection (SP)
|
100% |
1384
109.8 IPS |
|
|
Object Detection (HP)
|
99% |
7174
570.7 IPS |
|
|
Object Detection (Q)
|
91% |
6663
532.4 IPS |
|
|
Face Detection (SP)
|
100% |
2980
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
14535
172.7 IPS |
|
|
Face Detection (Q)
|
100% |
12994
154.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5466
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
45214
348.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
46658
364.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16450
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
121054
155.6 IPS |
|
|
Style Transfer (Q)
|
96% |
111832
144.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3514
129.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23663
873.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23978
885.4 IPS |
|
|
Text Classification (SP)
|
100% |
2395
3.20 KIPS |
|
|
Text Classification (HP)
|
99% |
4178
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4168
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2495
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2579
44.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2634
45.5 IPS |
