iPad Air 11-inch (M2)
Geekbench AI Score
3296
Single Precision Score
26563
Half Precision Score
29025
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 18 2025 01:47 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% |
1288
239.5 IPS |
|
|
Image Classification (HP)
|
100% |
14849
2.76 KIPS |
|
|
Image Classification (Q)
|
96% |
14995
2.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1440
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19792
320.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24209
392.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6319
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
103381
120.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
106026
124.3 IPS |
|
|
Object Detection (SP)
|
100% |
1424
112.9 IPS |
|
|
Object Detection (HP)
|
99% |
15324
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
16727
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3038
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
34138
405.6 IPS |
|
|
Face Detection (Q)
|
100% |
42876
509.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5414
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
87803
676.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
107823
842.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18062
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
202826
260.7 IPS |
|
|
Style Transfer (Q)
|
96% |
193387
249.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3722
137.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39832
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46158
1.70 KIPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
99% |
3748
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3729
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3591
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4140
71.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4284
74.0 IPS |
