iPad Air 11-inch (M2)
Geekbench AI Score
3423
Single Precision Score
5955
Half Precision Score
4832
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | melik_alexey |
| Upload Date | April 07 2025 09:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1375
255.7 IPS |
|
|
Image Classification (HP)
|
100% |
2473
460.0 IPS |
|
|
Image Classification (Q)
|
96% |
1727
322.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1467
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2364
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2740
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6786
7.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
15100
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12894
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1527
121.1 IPS |
|
|
Object Detection (HP)
|
97% |
2792
222.3 IPS |
|
|
Object Detection (Q)
|
94% |
2027
161.5 IPS |
|
|
Face Detection (SP)
|
100% |
3108
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
5986
71.1 IPS |
|
|
Face Detection (Q)
|
100% |
3459
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5606
43.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11010
85.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7677
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18584
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28902
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23972
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3933
145.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4987
184.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3711
137.0 IPS |
|
|
Text Classification (SP)
|
100% |
2252
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3784
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3753
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3690
63.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6340
109.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6334
109.5 IPS |
