iPad Air 11-inch (M2)
Geekbench AI Score
6600
Single Precision Score
7321
Half Precision Score
6814
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 01:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3007
559.1 IPS |
|
|
Image Classification (HP)
|
100% |
3086
573.9 IPS |
|
|
Image Classification (Q)
|
96% |
2759
515.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5244
85.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5363
86.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5124
83.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
22387
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
24458
28.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
23709
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
3179
252.2 IPS |
|
|
Object Detection (HP)
|
100% |
3127
248.1 IPS |
|
|
Object Detection (Q)
|
92% |
2933
234.1 IPS |
|
|
Face Detection (SP)
|
100% |
9426
112.0 IPS |
|
|
Face Detection (HP)
|
100% |
10725
127.4 IPS |
|
|
Face Detection (Q)
|
100% |
9148
108.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15566
119.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
16711
128.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
15472
120.9 IPS |
|
|
Style Transfer (SP)
|
100% |
38809
49.9 IPS |
|
|
Style Transfer (HP)
|
100% |
44177
56.8 IPS |
|
|
Style Transfer (Q)
|
96% |
42914
55.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8017
296.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8561
316.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7405
273.4 IPS |
|
|
Text Classification (SP)
|
100% |
2251
3.00 KIPS |
|
|
Text Classification (HP)
|
99% |
3762
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3776
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1360
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1372
23.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1294
22.4 IPS |
