iPad Air (5th generation)
Geekbench AI Score
3098
Single Precision Score
14268
Half Precision Score
13991
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 12:53 AM |
| Views | 1 |
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% |
1311
243.7 IPS |
|
|
Image Classification (HP)
|
100% |
5913
1.10 KIPS |
|
|
Image Classification (Q)
|
96% |
5600
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8830
143.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9169
148.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6019
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
64929
75.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
64691
75.8 IPS |
|
|
Object Detection (SP)
|
100% |
1384
109.8 IPS |
|
|
Object Detection (HP)
|
99% |
6544
520.5 IPS |
|
|
Object Detection (Q)
|
91% |
6051
483.5 IPS |
|
|
Face Detection (SP)
|
100% |
2986
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
12565
149.3 IPS |
|
|
Face Detection (Q)
|
100% |
11791
140.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5466
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
42301
325.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
42954
335.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16493
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
119218
153.3 IPS |
|
|
Style Transfer (Q)
|
96% |
110738
142.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3456
127.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23118
853.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23237
858.0 IPS |
|
|
Text Classification (SP)
|
100% |
2448
3.27 KIPS |
|
|
Text Classification (HP)
|
99% |
4255
5.68 KIPS |
|
|
Text Classification (Q)
|
93% |
4224
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2509
43.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2529
43.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2598
44.9 IPS |
