iPad Air 11-inch (M2)
Geekbench AI Score
3456
Single Precision Score
26483
Half Precision Score
29095
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | albertoyan |
| Upload Date | May 04 2025 03:13 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1384
257.4 IPS |
|
|
Image Classification (HP)
|
100% |
14409
2.68 KIPS |
|
|
Image Classification (Q)
|
96% |
15081
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1522
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19618
318.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24073
390.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6812
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
106455
124.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
105620
123.8 IPS |
|
|
Object Detection (SP)
|
100% |
1527
121.1 IPS |
|
|
Object Detection (HP)
|
99% |
15082
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
16990
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3088
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
33121
393.5 IPS |
|
|
Face Detection (Q)
|
100% |
41113
488.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5647
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
84789
653.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
106954
835.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18665
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
203602
261.7 IPS |
|
|
Style Transfer (Q)
|
96% |
194972
251.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4055
149.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39613
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46278
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
2273
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3842
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3781
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3701
63.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4298
74.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4449
76.9 IPS |
