iPad Air 11-inch (M2)
Geekbench AI Score
5902
Single Precision Score
6713
Half Precision Score
5922
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 10:49 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% |
2956
549.7 IPS |
|
|
Image Classification (HP)
|
100% |
2967
551.9 IPS |
|
|
Image Classification (Q)
|
97% |
2551
476.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3834
62.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4601
74.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4646
75.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
22387
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
23678
27.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
22170
26.0 IPS |
|
|
Object Detection (SP)
|
100% |
2995
237.6 IPS |
|
|
Object Detection (HP)
|
100% |
3189
252.9 IPS |
|
|
Object Detection (Q)
|
91% |
2650
211.8 IPS |
|
|
Face Detection (SP)
|
100% |
9572
113.7 IPS |
|
|
Face Detection (HP)
|
100% |
10918
129.7 IPS |
|
|
Face Detection (Q)
|
100% |
7588
90.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15412
118.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
16438
126.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
13703
107.1 IPS |
|
|
Style Transfer (SP)
|
100% |
38496
49.5 IPS |
|
|
Style Transfer (HP)
|
100% |
43686
56.2 IPS |
|
|
Style Transfer (Q)
|
96% |
40873
52.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8002
295.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8417
310.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6651
245.6 IPS |
|
|
Text Classification (SP)
|
100% |
2169
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3621
4.83 KIPS |
|
|
Text Classification (Q)
|
93% |
3601
4.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
755
13.0 IPS |
|
|
Machine Translation (Q)
|
98% |
749
12.9 IPS |
