iPad Air 11-inch (M2)
Geekbench AI Score
5872
Single Precision Score
6708
Half Precision Score
5900
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | pakitt |
| Upload Date | December 14 2024 03:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2923
543.6 IPS |
|
|
Image Classification (HP)
|
100% |
2989
555.8 IPS |
|
|
Image Classification (Q)
|
97% |
2490
464.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3833
62.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4560
73.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4581
74.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
22355
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
23644
27.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
22077
25.9 IPS |
|
|
Object Detection (SP)
|
100% |
2804
222.4 IPS |
|
|
Object Detection (HP)
|
100% |
3139
249.0 IPS |
|
|
Object Detection (Q)
|
91% |
2634
210.5 IPS |
|
|
Face Detection (SP)
|
100% |
9714
115.4 IPS |
|
|
Face Detection (HP)
|
100% |
10858
129.0 IPS |
|
|
Face Detection (Q)
|
100% |
7739
92.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15321
118.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16312
125.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
13641
106.6 IPS |
|
|
Style Transfer (SP)
|
100% |
38905
50.0 IPS |
|
|
Style Transfer (HP)
|
100% |
43593
56.0 IPS |
|
|
Style Transfer (Q)
|
96% |
40818
52.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8076
298.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8399
310.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6725
248.3 IPS |
|
|
Text Classification (SP)
|
100% |
2187
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3641
4.86 KIPS |
|
|
Text Classification (Q)
|
93% |
3639
4.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
679
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
773
13.3 IPS |
|
|
Machine Translation (Q)
|
98% |
731
12.6 IPS |
