iPad Air 11-inch (M2)
Geekbench AI Score
3454
Single Precision Score
5908
Half Precision Score
4798
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 09:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1384
257.4 IPS |
|
|
Image Classification (HP)
|
100% |
2484
461.9 IPS |
|
|
Image Classification (Q)
|
96% |
1735
323.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1519
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2443
39.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2822
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6902
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
14732
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12884
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1572
124.7 IPS |
|
|
Object Detection (HP)
|
97% |
2895
230.5 IPS |
|
|
Object Detection (Q)
|
94% |
2076
165.4 IPS |
|
|
Face Detection (SP)
|
100% |
3172
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6201
73.7 IPS |
|
|
Face Detection (Q)
|
100% |
3548
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5693
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11674
90.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8001
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18851
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28461
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23692
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4060
149.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4726
174.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3569
131.8 IPS |
|
|
Text Classification (SP)
|
100% |
2159
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
3617
4.83 KIPS |
|
|
Text Classification (Q)
|
93% |
3597
4.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3560
61.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5686
98.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5729
99.0 IPS |
