iPad Air 11-inch (M2)
Geekbench AI Score
3457
Single Precision Score
25872
Half Precision Score
28534
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | WrigleyBeard |
| Upload Date | December 12 2024 10:58 PM |
| Views | 3 |
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% |
1377
256.1 IPS |
|
|
Image Classification (HP)
|
100% |
14312
2.66 KIPS |
|
|
Image Classification (Q)
|
96% |
14354
2.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1521
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19009
308.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23392
379.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6907
8.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
105827
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
104664
122.7 IPS |
|
|
Object Detection (SP)
|
100% |
1551
123.0 IPS |
|
|
Object Detection (HP)
|
99% |
15114
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
16777
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3161
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
32551
386.8 IPS |
|
|
Face Detection (Q)
|
100% |
41114
488.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5686
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
85214
656.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
107390
839.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18860
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
200304
257.5 IPS |
|
|
Style Transfer (Q)
|
96% |
192792
248.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4070
150.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36840
1.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47133
1.74 KIPS |
|
|
Text Classification (SP)
|
100% |
2218
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3794
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3678
4.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3560
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3977
68.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4113
71.1 IPS |
