iPad Air 13-inch (M2)
Geekbench AI Score
3370
Single Precision Score
25127
Half Precision Score
25824
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | July 01 2025 08:58 AM |
| Views | 3 |
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% |
1372
255.1 IPS |
|
|
Image Classification (HP)
|
100% |
10229
1.90 KIPS |
|
|
Image Classification (Q)
|
96% |
7017
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1363
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19522
316.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23294
377.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6567
7.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
101806
118.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
97231
114.0 IPS |
|
|
Object Detection (SP)
|
100% |
1527
121.1 IPS |
|
|
Object Detection (HP)
|
99% |
14722
1.17 KIPS |
|
|
Object Detection (Q)
|
91% |
15965
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
3108
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
32637
387.8 IPS |
|
|
Face Detection (Q)
|
100% |
40573
482.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5506
42.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
85401
658.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
96728
755.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18537
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
202111
259.8 IPS |
|
|
Style Transfer (Q)
|
96% |
194504
251.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3942
145.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38199
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45735
1.69 KIPS |
|
|
Text Classification (SP)
|
100% |
2260
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3697
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3647
4.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3575
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4214
72.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4083
70.6 IPS |
