iPad Air 11-inch (M2)
Geekbench AI Score
3453
Single Precision Score
6007
Half Precision Score
4886
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | albertoyan |
| Upload Date | May 04 2025 03:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1391
258.6 IPS |
|
|
Image Classification (HP)
|
100% |
2528
470.2 IPS |
|
|
Image Classification (Q)
|
96% |
1771
330.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1478
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2394
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2786
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6849
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
15311
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13119
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1532
121.5 IPS |
|
|
Object Detection (HP)
|
97% |
2808
223.6 IPS |
|
|
Object Detection (Q)
|
94% |
2040
162.6 IPS |
|
|
Face Detection (SP)
|
100% |
3126
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6010
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
3474
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5617
43.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11004
85.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7764
60.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18664
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29318
37.7 IPS |
|
|
Style Transfer (Q)
|
96% |
24238
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4056
149.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4976
183.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3732
137.8 IPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3862
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3848
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3701
63.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6320
109.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6264
108.2 IPS |
