iPad Air 11-inch (M2)
Geekbench AI Score
3468
Single Precision Score
25882
Half Precision Score
28594
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 10:34 PM |
| Views | 1 |
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% |
1378
256.3 IPS |
|
|
Image Classification (HP)
|
100% |
14285
2.66 KIPS |
|
|
Image Classification (Q)
|
96% |
14520
2.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1516
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19041
308.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23562
382.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6882
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
105682
123.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
104468
122.4 IPS |
|
|
Object Detection (SP)
|
100% |
1559
123.6 IPS |
|
|
Object Detection (HP)
|
99% |
14905
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
17010
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3170
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
32537
386.6 IPS |
|
|
Face Detection (Q)
|
100% |
41479
492.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5676
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
86279
664.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
106445
831.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19105
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
200675
258.0 IPS |
|
|
Style Transfer (Q)
|
96% |
188060
242.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4077
150.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38455
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48330
1.78 KIPS |
|
|
Text Classification (SP)
|
100% |
2253
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3645
4.86 KIPS |
|
|
Text Classification (Q)
|
93% |
3644
4.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3557
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3988
68.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4110
71.0 IPS |
