iPad Air 13-inch (M2)
Geekbench AI Score
6553
Single Precision Score
7288
Half Precision Score
6788
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 26 2025 07:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
2956
549.6 IPS |
|
|
Image Classification (HP)
|
100% |
2956
549.7 IPS |
|
|
Image Classification (Q)
|
96% |
2825
527.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
5195
84.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5304
86.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5068
82.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
22367
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
24441
28.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
23603
27.6 IPS |
|
|
Object Detection (SP)
|
100% |
3248
257.6 IPS |
|
|
Object Detection (HP)
|
100% |
3183
252.5 IPS |
|
|
Object Detection (Q)
|
92% |
2873
229.3 IPS |
|
|
Face Detection (SP)
|
100% |
9577
113.8 IPS |
|
|
Face Detection (HP)
|
100% |
11001
130.7 IPS |
|
|
Face Detection (Q)
|
100% |
9220
109.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15460
119.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
16634
128.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
15125
118.1 IPS |
|
|
Style Transfer (SP)
|
100% |
38680
49.7 IPS |
|
|
Style Transfer (HP)
|
100% |
44200
56.8 IPS |
|
|
Style Transfer (Q)
|
96% |
42924
55.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8016
296.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8607
317.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7315
270.1 IPS |
|
|
Text Classification (SP)
|
100% |
2296
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3786
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3825
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1243
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1316
22.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1279
22.1 IPS |
