iPad Air 11-inch (M2)
Geekbench AI Score
2267
Single Precision Score
3769
Half Precision Score
3000
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 28 2025 09:55 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
883
164.3 IPS |
|
|
Image Classification (HP)
|
100% |
1523
283.1 IPS |
|
|
Image Classification (Q)
|
96% |
1043
194.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1014
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1560
25.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1716
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4232
4.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
9293
10.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
8024
9.41 IPS |
|
|
Object Detection (SP)
|
100% |
1021
81.0 IPS |
|
|
Object Detection (HP)
|
97% |
1801
143.4 IPS |
|
|
Object Detection (Q)
|
94% |
1266
100.9 IPS |
|
|
Face Detection (SP)
|
100% |
2193
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
3917
46.5 IPS |
|
|
Face Detection (Q)
|
100% |
2157
25.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3693
28.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
7392
57.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
4939
38.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11728
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17619
22.6 IPS |
|
|
Style Transfer (Q)
|
96% |
14558
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2661
98.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3093
114.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2268
83.7 IPS |
|
|
Text Classification (SP)
|
100% |
1506
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2385
3.18 KIPS |
|
|
Text Classification (Q)
|
93% |
2387
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2444
42.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3869
66.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3870
66.9 IPS |
