iPad Air 11-inch (M2)
Geekbench AI Score
3455
Single Precision Score
26275
Half Precision Score
29141
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 31 2025 06:42 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1386
257.7 IPS |
|
|
Image Classification (HP)
|
100% |
14164
2.63 KIPS |
|
|
Image Classification (Q)
|
96% |
15260
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1472
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19405
314.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24038
389.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6862
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
105227
122.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
104575
122.6 IPS |
|
|
Object Detection (SP)
|
100% |
1552
123.1 IPS |
|
|
Object Detection (HP)
|
99% |
15066
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17091
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3180
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
32793
389.7 IPS |
|
|
Face Detection (Q)
|
100% |
41406
492.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5628
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
84045
647.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
105365
823.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18663
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
202708
260.6 IPS |
|
|
Style Transfer (Q)
|
96% |
188501
243.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3948
145.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39138
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47753
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
2263
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3836
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3811
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3743
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4292
73.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4501
77.8 IPS |
