iPad Air 11-inch (M2)
Geekbench AI Score
6532
Single Precision Score
7268
Half Precision Score
6751
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | albertoyan |
| Upload Date | May 04 2025 03:26 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2970
552.3 IPS |
|
|
Image Classification (HP)
|
100% |
2997
557.4 IPS |
|
|
Image Classification (Q)
|
96% |
2787
520.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
5175
83.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5295
85.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5083
82.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
22368
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
23704
27.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
22972
26.9 IPS |
|
|
Object Detection (SP)
|
100% |
3251
257.8 IPS |
|
|
Object Detection (HP)
|
100% |
3173
251.7 IPS |
|
|
Object Detection (Q)
|
92% |
2885
230.2 IPS |
|
|
Face Detection (SP)
|
100% |
9397
111.7 IPS |
|
|
Face Detection (HP)
|
100% |
10911
129.6 IPS |
|
|
Face Detection (Q)
|
100% |
9145
108.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15462
119.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
16452
126.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
15011
117.4 IPS |
|
|
Style Transfer (SP)
|
100% |
38327
49.3 IPS |
|
|
Style Transfer (HP)
|
100% |
43732
56.2 IPS |
|
|
Style Transfer (Q)
|
96% |
42405
54.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8032
296.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8496
313.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7396
273.1 IPS |
|
|
Text Classification (SP)
|
100% |
2256
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3788
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3784
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1255
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1365
23.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1286
22.2 IPS |
