iPad Air 11-inch (M2)
Geekbench AI Score
3295
Single Precision Score
26634
Half Precision Score
29292
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 04:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1297
241.2 IPS |
|
|
Image Classification (HP)
|
100% |
14505
2.70 KIPS |
|
|
Image Classification (Q)
|
96% |
15409
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1427
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19810
321.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24194
392.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6307
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
105583
123.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
106367
124.7 IPS |
|
|
Object Detection (SP)
|
100% |
1408
111.7 IPS |
|
|
Object Detection (HP)
|
99% |
15709
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17027
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3008
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
34241
406.9 IPS |
|
|
Face Detection (Q)
|
100% |
43494
516.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5386
41.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
85599
659.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
105740
826.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18132
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
205040
263.6 IPS |
|
|
Style Transfer (Q)
|
96% |
195646
252.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3737
138.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38149
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44932
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
2333
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
3857
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3845
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3588
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4263
73.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4431
76.6 IPS |
