iPad Air 13-inch (M2)
Geekbench AI Score
3309
Single Precision Score
26709
Half Precision Score
29398
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 11:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Air 13-inch (M2) |
| Model ID | iPad14,10 |
| Motherboard | J537AP |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1307
243.1 IPS |
|
|
Image Classification (HP)
|
100% |
14383
2.67 KIPS |
|
|
Image Classification (Q)
|
96% |
15595
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1447
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19828
321.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24170
391.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6286
7.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
102045
119.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
106522
124.9 IPS |
|
|
Object Detection (SP)
|
100% |
1417
112.4 IPS |
|
|
Object Detection (HP)
|
99% |
15669
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
16972
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3042
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
33891
402.7 IPS |
|
|
Face Detection (Q)
|
100% |
42837
509.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5450
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
85738
660.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
109391
854.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18018
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
204707
263.2 IPS |
|
|
Style Transfer (Q)
|
96% |
195960
252.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3723
137.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41330
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45073
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
2338
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
3897
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3894
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3599
62.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4230
72.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4391
75.9 IPS |
