iPad Air 13-inch (M2)
Geekbench AI Score
5426
Single Precision Score
6288
Half Precision Score
5926
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 15 2025 04:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2413
448.7 IPS |
|
|
Image Classification (HP)
|
100% |
3120
580.2 IPS |
|
|
Image Classification (Q)
|
96% |
2358
440.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5269
85.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5423
87.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5173
83.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11744
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
13200
15.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
13008
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
2527
200.5 IPS |
|
|
Object Detection (HP)
|
100% |
2418
191.8 IPS |
|
|
Object Detection (Q)
|
92% |
2241
178.9 IPS |
|
|
Face Detection (SP)
|
100% |
6047
71.8 IPS |
|
|
Face Detection (HP)
|
100% |
7037
83.6 IPS |
|
|
Face Detection (Q)
|
100% |
5660
67.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9527
73.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
10934
84.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10234
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21392
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
23972
30.8 IPS |
|
|
Style Transfer (Q)
|
96% |
43811
56.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8932
329.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9737
359.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6044
223.2 IPS |
|
|
Text Classification (SP)
|
100% |
1936
2.58 KIPS |
|
|
Text Classification (HP)
|
100% |
3220
4.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3210
4.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2751
47.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3097
53.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3052
52.7 IPS |
