iPad Air 11-inch (M2)
Geekbench AI Score
3307
Single Precision Score
26555
Half Precision Score
29059
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | melik_alexey |
| Upload Date | September 16 2025 11:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1297
241.3 IPS |
|
|
Image Classification (HP)
|
100% |
14766
2.75 KIPS |
|
|
Image Classification (Q)
|
96% |
15655
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1441
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19765
320.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24265
393.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6325
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
103961
121.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105363
123.5 IPS |
|
|
Object Detection (SP)
|
100% |
1414
112.1 IPS |
|
|
Object Detection (HP)
|
99% |
15786
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17099
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3103
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
33784
401.4 IPS |
|
|
Face Detection (Q)
|
100% |
42876
509.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5439
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
86324
665.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
108131
845.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18035
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
202247
260.0 IPS |
|
|
Style Transfer (Q)
|
96% |
196093
253.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3724
137.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38383
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41540
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3819
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3788
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3591
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4212
72.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4386
75.8 IPS |
