iPad Air 11-inch (M2)
Geekbench AI Score
3472
Single Precision Score
25890
Half Precision Score
28713
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | phoenixwrites |
| Upload Date | March 09 2025 02:57 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1396
259.5 IPS |
|
|
Image Classification (HP)
|
100% |
14231
2.65 KIPS |
|
|
Image Classification (Q)
|
96% |
15151
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1528
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18909
306.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23712
384.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6855
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
102876
120.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
104604
122.6 IPS |
|
|
Object Detection (SP)
|
100% |
1552
123.1 IPS |
|
|
Object Detection (HP)
|
99% |
15051
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
16970
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3170
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
32360
384.5 IPS |
|
|
Face Detection (Q)
|
100% |
41064
487.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5682
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
84908
654.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
104729
818.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18801
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
200896
258.3 IPS |
|
|
Style Transfer (Q)
|
96% |
189995
245.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4070
150.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38435
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46515
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
2280
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3705
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3672
4.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3571
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4132
71.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4280
74.0 IPS |
