iPad Air 11-inch (M2)
Geekbench AI Score
3468
Single Precision Score
25861
Half Precision Score
28610
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 29 2024 12:31 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% |
1394
259.2 IPS |
|
|
Image Classification (HP)
|
100% |
14567
2.71 KIPS |
|
|
Image Classification (Q)
|
96% |
14478
2.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1527
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18757
304.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23670
383.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6888
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
102264
119.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
104555
122.5 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.8 IPS |
|
|
Object Detection (HP)
|
99% |
14964
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
16905
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
3174
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
32647
387.9 IPS |
|
|
Face Detection (Q)
|
100% |
41490
493.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5686
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
85080
655.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
105778
826.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18845
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
200747
258.1 IPS |
|
|
Style Transfer (Q)
|
96% |
189228
244.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4076
150.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38521
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46573
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
2245
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3737
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3796
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3543
61.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3988
68.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4133
71.4 IPS |
