iPad Air 11-inch (M2)
Geekbench AI Score
3477
Single Precision Score
5954
Half Precision Score
4837
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Soerensen01 |
| Upload Date | December 25 2024 01:09 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Air 11-inch (M2) |
| Model ID | iPad14,9 |
| Motherboard | J508AP |
| 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% |
1394
259.2 IPS |
|
|
Image Classification (HP)
|
100% |
2538
472.0 IPS |
|
|
Image Classification (Q)
|
96% |
1779
332.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1534
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2475
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2865
46.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6906
8.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
14842
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12839
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1569
124.4 IPS |
|
|
Object Detection (HP)
|
97% |
2892
230.3 IPS |
|
|
Object Detection (Q)
|
94% |
2089
166.5 IPS |
|
|
Face Detection (SP)
|
100% |
3163
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6225
74.0 IPS |
|
|
Face Detection (Q)
|
100% |
3548
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5716
44.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11667
90.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8075
63.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18960
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28633
36.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23868
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4056
149.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4753
175.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3567
131.7 IPS |
|
|
Text Classification (SP)
|
100% |
2247
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3679
4.91 KIPS |
|
|
Text Classification (Q)
|
93% |
3666
4.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3576
61.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5717
98.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5747
99.3 IPS |
