iPad Air 11-inch (M2)
Geekbench AI Score
3446
Single Precision Score
25905
Half Precision Score
28482
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 15 2025 09:08 AM |
| Views | 1 |
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% |
1379
256.5 IPS |
|
|
Image Classification (HP)
|
100% |
14193
2.64 KIPS |
|
|
Image Classification (Q)
|
96% |
14331
2.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1515
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19160
310.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23902
387.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6864
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
102339
119.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
104478
122.5 IPS |
|
|
Object Detection (SP)
|
100% |
1551
123.0 IPS |
|
|
Object Detection (HP)
|
99% |
14956
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
17007
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3162
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
32285
383.6 IPS |
|
|
Face Detection (Q)
|
100% |
41348
491.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5664
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
84685
652.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
104490
816.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18837
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
202564
260.4 IPS |
|
|
Style Transfer (Q)
|
96% |
189413
244.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4044
149.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39714
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46199
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
2196
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3627
4.84 KIPS |
|
|
Text Classification (Q)
|
93% |
3611
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3549
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4100
70.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4229
73.1 IPS |
