iPad Air 13-inch (M2)
Geekbench AI Score
3467
Single Precision Score
5936
Half Precision Score
4807
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 04:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1386
257.8 IPS |
|
|
Image Classification (HP)
|
100% |
2516
468.0 IPS |
|
|
Image Classification (Q)
|
96% |
1769
330.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1526
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2465
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2831
45.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6870
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14725
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12683
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1564
124.1 IPS |
|
|
Object Detection (HP)
|
97% |
2881
229.3 IPS |
|
|
Object Detection (Q)
|
94% |
2077
165.6 IPS |
|
|
Face Detection (SP)
|
100% |
3164
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6178
73.4 IPS |
|
|
Face Detection (Q)
|
100% |
3547
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5662
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11583
89.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7995
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18871
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28479
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23691
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4064
150.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4772
176.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3550
131.1 IPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3673
4.90 KIPS |
|
|
Text Classification (Q)
|
93% |
3640
4.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3536
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5781
99.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5754
99.4 IPS |
