iPad Air 11-inch (M2)
Geekbench AI Score
3455
Single Precision Score
25787
Half Precision Score
28790
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | wwwfx9jp |
| Upload Date | January 07 2025 09:18 AM |
| Views | 6 |
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% |
1373
255.4 IPS |
|
|
Image Classification (HP)
|
100% |
13234
2.46 KIPS |
|
|
Image Classification (Q)
|
96% |
15532
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1550
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19327
313.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23480
380.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6878
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
103475
120.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
104344
122.3 IPS |
|
|
Object Detection (SP)
|
100% |
1564
124.1 IPS |
|
|
Object Detection (HP)
|
99% |
15659
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17822
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3173
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
32567
387.0 IPS |
|
|
Face Detection (Q)
|
100% |
41210
489.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5653
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
86125
663.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
106008
828.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18802
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
201331
258.8 IPS |
|
|
Style Transfer (Q)
|
96% |
190112
245.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4146
153.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38658
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46473
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
2150
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3634
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3630
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3531
60.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3955
68.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4118
71.2 IPS |
