iPad Air 11-inch (M2)
Geekbench AI Score
5878
Single Precision Score
6504
Half Precision Score
5852
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 21 2024 09:29 PM |
| Views | 1 |
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% |
2449
455.5 IPS |
|
|
Image Classification (HP)
|
100% |
2965
551.4 IPS |
|
|
Image Classification (Q)
|
97% |
2490
464.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3838
62.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4578
74.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4587
74.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
22384
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
23655
27.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
22037
25.8 IPS |
|
|
Object Detection (SP)
|
100% |
2921
231.7 IPS |
|
|
Object Detection (HP)
|
100% |
2838
225.1 IPS |
|
|
Object Detection (Q)
|
91% |
2615
208.9 IPS |
|
|
Face Detection (SP)
|
100% |
8802
104.6 IPS |
|
|
Face Detection (HP)
|
100% |
9946
118.2 IPS |
|
|
Face Detection (Q)
|
100% |
7631
90.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15160
116.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
15565
119.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
13469
105.3 IPS |
|
|
Style Transfer (SP)
|
100% |
38199
49.1 IPS |
|
|
Style Transfer (HP)
|
100% |
43588
56.0 IPS |
|
|
Style Transfer (Q)
|
96% |
40757
52.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8048
297.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8411
310.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6668
246.2 IPS |
|
|
Text Classification (SP)
|
100% |
2210
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3722
4.97 KIPS |
|
|
Text Classification (Q)
|
93% |
3606
4.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
884
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
704
12.1 IPS |
|
|
Machine Translation (Q)
|
98% |
711
12.3 IPS |
