iPad Air 11-inch (M2)
Geekbench AI Score
3426
Single Precision Score
26272
Half Precision Score
29081
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | melik_alexey |
| Upload Date | April 07 2025 09:47 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1380
256.7 IPS |
|
|
Image Classification (HP)
|
100% |
14391
2.68 KIPS |
|
|
Image Classification (Q)
|
96% |
15194
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1466
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19567
317.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24045
389.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6818
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
105253
122.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
106573
124.9 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.2 IPS |
|
|
Object Detection (HP)
|
99% |
15083
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17008
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3121
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
33012
392.3 IPS |
|
|
Face Detection (Q)
|
100% |
41339
491.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5625
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
84814
653.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
106689
833.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18558
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
200969
258.3 IPS |
|
|
Style Transfer (Q)
|
96% |
190524
245.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3976
146.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38873
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46458
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
2255
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3778
5.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3756
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3660
63.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4242
73.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4456
77.0 IPS |
