iPad Air 11-inch (M2)
Geekbench AI Score
3306
Single Precision Score
24994
Half Precision Score
26755
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 28 2025 01:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| Model | iPad Air 11-inch (M2) |
| Model ID | iPad14,8 |
| Motherboard | J507AP |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1330
247.4 IPS |
|
|
Image Classification (HP)
|
100% |
12818
2.38 KIPS |
|
|
Image Classification (Q)
|
96% |
14520
2.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1137
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18385
298.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23705
384.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6468
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
100961
117.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
96437
113.0 IPS |
|
|
Object Detection (SP)
|
100% |
1548
122.8 IPS |
|
|
Object Detection (HP)
|
99% |
15183
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
17024
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3136
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
26492
314.8 IPS |
|
|
Face Detection (Q)
|
100% |
38482
457.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5698
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
86035
662.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
91923
718.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18454
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
200117
257.3 IPS |
|
|
Style Transfer (Q)
|
96% |
189396
244.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4066
150.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37608
1.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45422
1.68 KIPS |
|
|
Text Classification (SP)
|
100% |
2184
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3723
4.97 KIPS |
|
|
Text Classification (Q)
|
93% |
3305
4.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3519
60.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4125
71.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3308
57.2 IPS |
