iPad Air 11-inch (M2)
Geekbench AI Score
3450
Single Precision Score
26096
Half Precision Score
28915
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | sampo81 |
| Upload Date | February 23 2025 10:48 AM |
| Views | 10 |
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 | iPad14,9 |
| Motherboard | J508AP |
| 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% |
1405
261.3 IPS |
|
|
Image Classification (HP)
|
100% |
14259
2.65 KIPS |
|
|
Image Classification (Q)
|
96% |
15735
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1576
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19331
313.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23814
386.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6883
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
105695
123.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
104707
122.7 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.7 IPS |
|
|
Object Detection (HP)
|
99% |
15340
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
17246
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3157
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
32671
388.2 IPS |
|
|
Face Detection (Q)
|
100% |
41355
491.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5614
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
85464
658.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
103819
811.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18841
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
201740
259.3 IPS |
|
|
Style Transfer (Q)
|
96% |
193204
249.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4025
148.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38029
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45993
1.70 KIPS |
|
|
Text Classification (SP)
|
100% |
2182
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3638
4.86 KIPS |
|
|
Text Classification (Q)
|
93% |
3670
4.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3431
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4206
72.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4313
74.5 IPS |
