iPad Air 11-inch (M2)
Geekbench AI Score
3490
Single Precision Score
26266
Half Precision Score
28945
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 12 2025 04:36 PM |
| Views | 1 |
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 | iPad14,8 |
| 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% |
1375
255.7 IPS |
|
|
Image Classification (HP)
|
100% |
14455
2.69 KIPS |
|
|
Image Classification (Q)
|
96% |
15386
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1561
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19357
313.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23713
384.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6880
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
105867
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
104087
122.0 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
99% |
14929
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
16745
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3180
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
32617
387.6 IPS |
|
|
Face Detection (Q)
|
100% |
41252
490.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5701
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
87710
675.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
108049
844.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19079
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
200888
258.2 IPS |
|
|
Style Transfer (Q)
|
96% |
193850
250.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4208
155.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39657
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47103
1.74 KIPS |
|
|
Text Classification (SP)
|
100% |
2215
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3785
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3771
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3597
62.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4098
70.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4230
73.1 IPS |
