iPad Air 13-inch (M2)
Geekbench AI Score
3181
Single Precision Score
25152
Half Precision Score
27946
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | July 01 2025 08:58 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1367
254.2 IPS |
|
|
Image Classification (HP)
|
100% |
14209
2.64 KIPS |
|
|
Image Classification (Q)
|
96% |
14746
2.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1482
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19429
315.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23906
387.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6806
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
101413
118.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
106409
124.7 IPS |
|
|
Object Detection (SP)
|
100% |
1532
121.5 IPS |
|
|
Object Detection (HP)
|
99% |
14882
1.18 KIPS |
|
|
Object Detection (Q)
|
91% |
17166
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3099
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
31044
368.9 IPS |
|
|
Face Detection (Q)
|
100% |
39404
468.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5543
42.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
75159
579.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
92602
723.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11227
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
201313
258.8 IPS |
|
|
Style Transfer (Q)
|
96% |
163061
210.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3136
115.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33311
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46848
1.73 KIPS |
|
|
Text Classification (SP)
|
100% |
2253
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3692
4.93 KIPS |
|
|
Text Classification (Q)
|
93% |
3679
4.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3696
63.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4211
72.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4401
76.1 IPS |
