iPad Air 13-inch (M2)
Geekbench AI Score
3456
Single Precision Score
26245
Half Precision Score
28822
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | TallonRain |
| Upload Date | July 09 2025 04:05 AM |
| Views | 33 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1375
255.6 IPS |
|
|
Image Classification (HP)
|
100% |
14290
2.66 KIPS |
|
|
Image Classification (Q)
|
96% |
15435
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1513
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19399
314.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23598
382.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6809
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
106168
123.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
104608
122.6 IPS |
|
|
Object Detection (SP)
|
100% |
1538
122.0 IPS |
|
|
Object Detection (HP)
|
99% |
15087
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
16080
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
3088
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
32748
389.1 IPS |
|
|
Face Detection (Q)
|
100% |
41268
490.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5629
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
83978
647.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
105588
825.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18635
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
200725
258.0 IPS |
|
|
Style Transfer (Q)
|
96% |
193481
249.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4064
150.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38160
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44945
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3902
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3906
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3680
63.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4249
73.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4363
75.4 IPS |
