iPad Air 11-inch (M2)
Geekbench AI Score
3301
Single Precision Score
26576
Half Precision Score
29235
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 04:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad Air 11-inch (M2) |
| Model ID | iPad14,8 |
| Motherboard | J507AP |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1308
243.3 IPS |
|
|
Image Classification (HP)
|
100% |
14534
2.70 KIPS |
|
|
Image Classification (Q)
|
96% |
15619
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1441
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19846
321.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23900
387.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6318
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
105551
123.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
105337
123.5 IPS |
|
|
Object Detection (SP)
|
100% |
1426
113.1 IPS |
|
|
Object Detection (HP)
|
99% |
15694
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
16482
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
2997
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
34194
406.3 IPS |
|
|
Face Detection (Q)
|
100% |
43095
512.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5339
41.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
87369
673.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
107379
839.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18120
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
203301
261.3 IPS |
|
|
Style Transfer (Q)
|
96% |
195913
252.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3748
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36610
1.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44594
1.65 KIPS |
|
|
Text Classification (SP)
|
100% |
2320
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3880
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3935
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3596
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4265
73.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4424
76.5 IPS |
