iPad Air 11-inch (M2)
Geekbench AI Score
3329
Single Precision Score
26618
Half Precision Score
29289
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 06:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1305
242.8 IPS |
|
|
Image Classification (HP)
|
100% |
14796
2.75 KIPS |
|
|
Image Classification (Q)
|
96% |
15564
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1452
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19815
321.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24194
392.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6322
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
103605
120.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
106338
124.6 IPS |
|
|
Object Detection (SP)
|
100% |
1431
113.5 IPS |
|
|
Object Detection (HP)
|
99% |
15768
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
16474
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
3071
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
33929
403.2 IPS |
|
|
Face Detection (Q)
|
100% |
42961
510.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5490
42.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
87035
670.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
103194
806.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18140
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
203943
262.2 IPS |
|
|
Style Transfer (Q)
|
96% |
196001
252.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3712
137.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37172
1.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47430
1.75 KIPS |
|
|
Text Classification (SP)
|
100% |
2368
3.16 KIPS |
|
|
Text Classification (HP)
|
99% |
3899
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3867
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3636
62.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4271
73.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4419
76.4 IPS |
