iPad Air 13-inch (M2)
Geekbench AI Score
3469
Single Precision Score
25784
Half Precision Score
28340
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | iPhone16M2 |
| Upload Date | January 23 2025 12:03 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 13-inch (M2) |
| Model ID | iPad14,10 |
| Motherboard | J537AP |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1381
256.8 IPS |
|
|
Image Classification (HP)
|
100% |
14349
2.67 KIPS |
|
|
Image Classification (Q)
|
96% |
14596
2.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1528
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18899
306.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23684
383.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6838
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
101766
118.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
104299
122.2 IPS |
|
|
Object Detection (SP)
|
100% |
1565
124.2 IPS |
|
|
Object Detection (HP)
|
99% |
15053
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
16812
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3156
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
32260
383.3 IPS |
|
|
Face Detection (Q)
|
100% |
41069
488.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5650
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
85477
658.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
104223
814.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18808
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
200983
258.4 IPS |
|
|
Style Transfer (Q)
|
96% |
188518
243.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4180
154.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38269
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45879
1.69 KIPS |
|
|
Text Classification (SP)
|
100% |
2241
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3645
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3623
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3561
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4044
69.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4111
71.0 IPS |
