iPad Air (5th generation)
Geekbench AI Score
5326
Single Precision Score
6140
Half Precision Score
5683
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | January 30 2026 07:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2436
453.1 IPS |
|
|
Image Classification (HP)
|
100% |
2396
445.6 IPS |
|
|
Image Classification (Q)
|
94% |
2233
417.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4039
65.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4311
69.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4111
66.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16967
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19087
22.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
18280
21.4 IPS |
|
|
Object Detection (SP)
|
100% |
2698
214.0 IPS |
|
|
Object Detection (HP)
|
100% |
2721
215.8 IPS |
|
|
Object Detection (Q)
|
90% |
2536
202.8 IPS |
|
|
Face Detection (SP)
|
100% |
7038
83.6 IPS |
|
|
Face Detection (HP)
|
100% |
8991
106.8 IPS |
|
|
Face Detection (Q)
|
100% |
7155
85.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12448
95.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13992
107.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
12690
99.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29143
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35460
45.6 IPS |
|
|
Style Transfer (Q)
|
96% |
34555
44.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6437
237.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7067
260.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5924
218.7 IPS |
|
|
Text Classification (SP)
|
100% |
2413
3.22 KIPS |
|
|
Text Classification (HP)
|
99% |
4217
5.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4140
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1029
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1069
18.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1074
18.6 IPS |
