iPad Air (5th generation)
Geekbench AI Score
5278
Single Precision Score
6082
Half Precision Score
5689
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Faust1977 |
| Upload Date | November 05 2025 09:30 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2392
444.8 IPS |
|
|
Image Classification (HP)
|
100% |
2421
450.3 IPS |
|
|
Image Classification (Q)
|
96% |
2302
429.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4013
65.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4279
69.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4130
66.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16950
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18778
21.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
18200
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
2659
210.9 IPS |
|
|
Object Detection (HP)
|
100% |
2686
213.1 IPS |
|
|
Object Detection (Q)
|
92% |
2445
195.2 IPS |
|
|
Face Detection (SP)
|
100% |
6824
81.1 IPS |
|
|
Face Detection (HP)
|
100% |
8529
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
7103
84.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12511
96.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13853
106.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
12766
99.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28798
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35176
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
34289
44.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6478
239.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7223
266.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6061
223.8 IPS |
|
|
Text Classification (SP)
|
100% |
2417
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
4255
5.68 KIPS |
|
|
Text Classification (Q)
|
93% |
4230
5.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1038
17.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1054
18.2 IPS |
