iPad Air 11-inch (M2)
Geekbench AI Score
3452
Single Precision Score
25944
Half Precision Score
28573
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 01:06 AM |
| 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% |
1384
257.4 IPS |
|
|
Image Classification (HP)
|
100% |
14495
2.70 KIPS |
|
|
Image Classification (Q)
|
96% |
14702
2.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1526
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19045
308.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23708
384.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6855
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
103605
120.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
104711
122.7 IPS |
|
|
Object Detection (SP)
|
100% |
1561
123.8 IPS |
|
|
Object Detection (HP)
|
99% |
15037
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17016
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3160
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
32532
386.5 IPS |
|
|
Face Detection (Q)
|
100% |
41490
493.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5682
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
85423
658.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
104980
820.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18816
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
201612
259.2 IPS |
|
|
Style Transfer (Q)
|
96% |
189046
244.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4045
149.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38350
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46413
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
2194
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3742
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3703
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3553
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3996
68.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4128
71.3 IPS |
