iPad Air 11-inch (M2)
Geekbench AI Score
3474
Single Precision Score
5984
Half Precision Score
4836
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | WrigleyBeard |
| Upload Date | December 12 2024 10:53 PM |
| Views | 5 |
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% |
1385
257.6 IPS |
|
|
Image Classification (HP)
|
100% |
2529
470.3 IPS |
|
|
Image Classification (Q)
|
96% |
1753
327.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1545
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2514
40.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2835
46.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6868
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
14815
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12840
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1551
123.1 IPS |
|
|
Object Detection (HP)
|
97% |
2878
229.1 IPS |
|
|
Object Detection (Q)
|
94% |
2079
165.7 IPS |
|
|
Face Detection (SP)
|
100% |
3162
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6206
73.7 IPS |
|
|
Face Detection (Q)
|
100% |
3577
42.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5668
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11597
89.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8055
63.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19019
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28926
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23769
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4125
152.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4816
177.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3562
131.5 IPS |
|
|
Text Classification (SP)
|
100% |
2233
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3766
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3770
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3584
61.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5758
99.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5737
99.1 IPS |
