iPad Air 11-inch (M2)
Geekbench AI Score
3453
Single Precision Score
26030
Half Precision Score
28716
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | marlody |
| Upload Date | January 09 2025 07:57 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| Model | iPad Air 11-inch (M2) |
| Model ID | iPad14,9 |
| Motherboard | J508AP |
| 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
256.6 IPS |
|
|
Image Classification (HP)
|
100% |
14705
2.73 KIPS |
|
|
Image Classification (Q)
|
96% |
14899
2.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1521
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18830
305.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23903
387.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6895
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
102435
119.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
104626
122.6 IPS |
|
|
Object Detection (SP)
|
100% |
1559
123.6 IPS |
|
|
Object Detection (HP)
|
99% |
15075
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17075
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3158
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
32624
387.6 IPS |
|
|
Face Detection (Q)
|
100% |
41393
491.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5727
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
86161
663.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
105708
826.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18865
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
201462
259.0 IPS |
|
|
Style Transfer (Q)
|
96% |
189605
244.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4074
150.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38960
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48139
1.78 KIPS |
|
|
Text Classification (SP)
|
100% |
2174
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
3758
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3630
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3543
61.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4029
69.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4135
71.5 IPS |
