iPad Air 11-inch (M2)
Geekbench AI Score
3471
Single Precision Score
5952
Half Precision Score
4826
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | pakitt |
| Upload Date | December 14 2024 03:05 AM |
| Views | 2 |
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% |
1389
258.3 IPS |
|
|
Image Classification (HP)
|
100% |
2530
470.4 IPS |
|
|
Image Classification (Q)
|
96% |
1768
330.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1537
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2471
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2850
46.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6883
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14759
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12675
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1558
123.6 IPS |
|
|
Object Detection (HP)
|
97% |
2879
229.2 IPS |
|
|
Object Detection (Q)
|
94% |
2074
165.4 IPS |
|
|
Face Detection (SP)
|
100% |
3167
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6159
73.2 IPS |
|
|
Face Detection (Q)
|
100% |
3549
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5711
44.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11584
89.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7991
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18886
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28477
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23739
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4082
150.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4746
175.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3569
131.8 IPS |
|
|
Text Classification (SP)
|
100% |
2223
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3770
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3755
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3586
61.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5782
99.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5742
99.2 IPS |
