iPad Air 13-inch (M2)
Geekbench AI Score
2347
Single Precision Score
12158
Half Precision Score
13531
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 07:13 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 17.4 |
| 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% |
1255
233.3 IPS |
|
|
Image Classification (HP)
|
100% |
7180
1.34 KIPS |
|
|
Image Classification (Q)
|
96% |
7457
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
751
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5024
81.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8079
131.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5982
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
87500
102.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
87336
102.4 IPS |
|
|
Object Detection (SP)
|
100% |
1357
107.7 IPS |
|
|
Object Detection (HP)
|
99% |
8320
661.8 IPS |
|
|
Object Detection (Q)
|
93% |
8782
700.8 IPS |
|
|
Face Detection (SP)
|
100% |
2415
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
11408
135.5 IPS |
|
|
Face Detection (Q)
|
100% |
13123
155.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4117
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47862
368.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
57560
449.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11076
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
137860
177.2 IPS |
|
|
Style Transfer (Q)
|
95% |
125830
162.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3139
115.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19011
702.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25091
926.5 IPS |
|
|
Text Classification (SP)
|
100% |
1195
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
802
1.07 KIPS |
|
|
Text Classification (Q)
|
93% |
796
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1609
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2342
40.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2347
40.6 IPS |
