iPad Air 13-inch (M2)
Geekbench AI Score
3466
Single Precision Score
5945
Half Precision Score
4809
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 09:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1384
257.3 IPS |
|
|
Image Classification (HP)
|
100% |
2526
469.7 IPS |
|
|
Image Classification (Q)
|
96% |
1762
329.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1530
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2459
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2830
45.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6881
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14859
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12660
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1562
123.9 IPS |
|
|
Object Detection (HP)
|
97% |
2873
228.7 IPS |
|
|
Object Detection (Q)
|
94% |
2079
165.7 IPS |
|
|
Face Detection (SP)
|
100% |
3159
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6197
73.6 IPS |
|
|
Face Detection (Q)
|
100% |
3552
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5692
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11549
89.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7992
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18888
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28499
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23886
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4070
150.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4782
176.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3558
131.4 IPS |
|
|
Text Classification (SP)
|
100% |
2244
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3682
4.92 KIPS |
|
|
Text Classification (Q)
|
93% |
3627
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3551
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5792
100.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5766
99.6 IPS |
