iPad Air (5th generation)
Geekbench AI Score
3094
Single Precision Score
14921
Half Precision Score
14498
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | gemino |
| Upload Date | October 30 2025 04:52 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1304
242.5 IPS |
|
|
Image Classification (HP)
|
100% |
6306
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5930
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1344
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9183
148.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9320
151.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6010
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
65697
76.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
64422
75.5 IPS |
|
|
Object Detection (SP)
|
100% |
1380
109.5 IPS |
|
|
Object Detection (HP)
|
99% |
6883
547.6 IPS |
|
|
Object Detection (Q)
|
91% |
6259
500.1 IPS |
|
|
Face Detection (SP)
|
100% |
2955
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
13742
163.3 IPS |
|
|
Face Detection (Q)
|
100% |
12887
153.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5458
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
43732
336.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
43709
341.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16516
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
119761
154.0 IPS |
|
|
Style Transfer (Q)
|
96% |
110814
143.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3461
127.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23940
884.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23942
884.1 IPS |
|
|
Text Classification (SP)
|
100% |
2388
3.19 KIPS |
|
|
Text Classification (HP)
|
99% |
4242
5.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4162
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2518
43.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2859
49.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2960
51.1 IPS |
