iPad Air (5th generation)
Geekbench AI Score
3213
Single Precision Score
5396
Half Precision Score
4441
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 14 2025 02:37 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1417
263.5 IPS |
|
|
Image Classification (HP)
|
100% |
2220
412.8 IPS |
|
|
Image Classification (Q)
|
96% |
1575
294.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1368
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2544
41.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6493
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
14267
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12237
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1501
119.1 IPS |
|
|
Object Detection (HP)
|
97% |
2417
192.4 IPS |
|
|
Object Detection (Q)
|
94% |
1789
142.6 IPS |
|
|
Face Detection (SP)
|
100% |
3025
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5431
64.5 IPS |
|
|
Face Detection (Q)
|
100% |
3172
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5669
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10429
80.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7367
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16979
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26958
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22355
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3703
136.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4621
170.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3531
130.4 IPS |
|
|
Text Classification (SP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3946
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
4068
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2523
43.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4581
79.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4536
78.4 IPS |
