iPad Air 13-inch (M2)
Geekbench AI Score
3428
Single Precision Score
5926
Half Precision Score
4820
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | July 01 2025 08:56 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1367
254.2 IPS |
|
|
Image Classification (HP)
|
100% |
2449
455.5 IPS |
|
|
Image Classification (Q)
|
96% |
1723
321.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1503
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2365
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2732
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6783
7.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
15123
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12949
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1525
120.9 IPS |
|
|
Object Detection (HP)
|
97% |
2780
221.3 IPS |
|
|
Object Detection (Q)
|
94% |
2022
161.2 IPS |
|
|
Face Detection (SP)
|
100% |
3100
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
5963
70.9 IPS |
|
|
Face Detection (Q)
|
100% |
3451
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5608
43.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10841
83.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7728
60.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18513
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
28913
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23911
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3948
145.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5013
185.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3693
136.4 IPS |
|
|
Text Classification (SP)
|
100% |
2258
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3697
4.93 KIPS |
|
|
Text Classification (Q)
|
93% |
3700
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3678
63.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6340
109.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6312
109.1 IPS |
