iPad Air 11-inch (M2)
Geekbench AI Score
3485
Single Precision Score
25864
Half Precision Score
28611
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 09:53 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1391
258.8 IPS |
|
|
Image Classification (HP)
|
100% |
14383
2.67 KIPS |
|
|
Image Classification (Q)
|
96% |
15083
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1543
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19020
308.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23856
386.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6880
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
102491
119.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
105721
123.9 IPS |
|
|
Object Detection (SP)
|
100% |
1578
125.2 IPS |
|
|
Object Detection (HP)
|
99% |
14975
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
16819
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3196
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
32412
385.1 IPS |
|
|
Face Detection (Q)
|
100% |
41285
490.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5738
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
84630
652.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
103673
810.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18942
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
201087
258.5 IPS |
|
|
Style Transfer (Q)
|
96% |
188725
243.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4104
151.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38590
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46554
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
2227
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3742
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3706
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3573
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4006
69.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4123
71.3 IPS |
