iPad Air 11-inch (M2)
Geekbench AI Score
3453
Single Precision Score
5944
Half Precision Score
4817
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 10:44 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 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% |
1375
255.7 IPS |
|
|
Image Classification (HP)
|
100% |
2473
460.0 IPS |
|
|
Image Classification (Q)
|
96% |
1729
322.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1517
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2452
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2837
46.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6850
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
14762
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12807
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1554
123.3 IPS |
|
|
Object Detection (HP)
|
97% |
2866
228.2 IPS |
|
|
Object Detection (Q)
|
94% |
2070
165.0 IPS |
|
|
Face Detection (SP)
|
100% |
3146
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6183
73.5 IPS |
|
|
Face Detection (Q)
|
100% |
3552
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5675
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11602
89.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8031
62.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18853
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28489
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23807
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4099
151.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4845
178.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3568
131.8 IPS |
|
|
Text Classification (SP)
|
100% |
2211
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3768
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3729
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3558
61.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5752
99.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5730
99.0 IPS |
