iPad Air (5th generation)
Geekbench AI Score
3092
Single Precision Score
14303
Half Precision Score
14295
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 01 2025 02:02 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1306
242.9 IPS |
|
|
Image Classification (HP)
|
100% |
6397
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
5911
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1318
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9034
146.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9316
151.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6021
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
66227
77.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
64187
75.2 IPS |
|
|
Object Detection (SP)
|
100% |
1377
109.2 IPS |
|
|
Object Detection (HP)
|
99% |
6406
509.6 IPS |
|
|
Object Detection (Q)
|
91% |
6685
534.1 IPS |
|
|
Face Detection (SP)
|
100% |
2974
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
12351
146.8 IPS |
|
|
Face Detection (Q)
|
100% |
12217
145.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5456
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
42236
325.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
44710
349.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16476
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
119187
153.2 IPS |
|
|
Style Transfer (Q)
|
96% |
110451
142.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3459
127.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23033
850.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23548
869.5 IPS |
|
|
Text Classification (SP)
|
100% |
2421
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
4197
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4197
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2504
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2432
41.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2530
43.7 IPS |
