iPad Air 11-inch (M2)
Geekbench AI Score
3484
Single Precision Score
5958
Half Precision Score
4831
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | sampo81 |
| Upload Date | February 22 2025 05:54 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| Model | iPad Air 11-inch (M2) |
| Model ID | iPad14,9 |
| Motherboard | J508AP |
| 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% |
1398
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
2544
473.1 IPS |
|
|
Image Classification (Q)
|
96% |
1774
331.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1542
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2476
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2870
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6856
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
14947
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12673
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1570
124.5 IPS |
|
|
Object Detection (HP)
|
97% |
2879
229.2 IPS |
|
|
Object Detection (Q)
|
94% |
2086
166.3 IPS |
|
|
Face Detection (SP)
|
100% |
3164
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6182
73.5 IPS |
|
|
Face Detection (Q)
|
100% |
3554
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5700
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11597
89.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8002
62.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18826
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28477
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23742
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4154
153.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4751
175.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3564
131.6 IPS |
|
|
Text Classification (SP)
|
100% |
2259
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3755
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3736
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3570
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5718
98.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5731
99.0 IPS |
