iPad Air 11-inch (M2)
Geekbench AI Score
5875
Single Precision Score
6577
Half Precision Score
5883
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 21 2024 09:29 PM |
| 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% |
2883
536.1 IPS |
|
|
Image Classification (HP)
|
100% |
2903
539.9 IPS |
|
|
Image Classification (Q)
|
97% |
2576
480.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3831
62.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4556
73.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4612
74.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
22358
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
23649
27.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
22129
25.9 IPS |
|
|
Object Detection (SP)
|
100% |
2969
235.5 IPS |
|
|
Object Detection (HP)
|
100% |
3150
249.9 IPS |
|
|
Object Detection (Q)
|
91% |
2618
209.2 IPS |
|
|
Face Detection (SP)
|
100% |
9551
113.5 IPS |
|
|
Face Detection (HP)
|
100% |
10839
128.8 IPS |
|
|
Face Detection (Q)
|
100% |
7646
90.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15378
118.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
16334
125.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
13667
106.8 IPS |
|
|
Style Transfer (SP)
|
100% |
38462
49.4 IPS |
|
|
Style Transfer (HP)
|
100% |
43599
56.0 IPS |
|
|
Style Transfer (Q)
|
96% |
40755
52.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8030
296.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8325
307.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6632
244.9 IPS |
|
|
Text Classification (SP)
|
100% |
2162
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3669
4.90 KIPS |
|
|
Text Classification (Q)
|
93% |
3611
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
682
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
652
11.2 IPS |
|
|
Machine Translation (Q)
|
98% |
708
12.2 IPS |
