iPad Air 13-inch (M2)
Geekbench AI Score
3219
Single Precision Score
4756
Half Precision Score
4074
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 20 2025 06:09 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1521
282.9 IPS |
|
|
Image Classification (HP)
|
100% |
1935
359.9 IPS |
|
|
Image Classification (Q)
|
96% |
1453
271.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1313
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1838
29.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6122
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
14523
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12526
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.8 IPS |
|
|
Object Detection (HP)
|
97% |
2275
181.1 IPS |
|
|
Object Detection (Q)
|
94% |
1740
138.7 IPS |
|
|
Face Detection (SP)
|
100% |
2891
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
4491
53.4 IPS |
|
|
Face Detection (Q)
|
100% |
2903
34.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5418
41.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
8660
66.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
6522
50.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17395
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
27129
34.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22613
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3649
134.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4811
177.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3605
133.1 IPS |
|
|
Text Classification (SP)
|
100% |
2221
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3089
4.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3082
4.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2794
48.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4553
78.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4560
78.8 IPS |
