iPad Air 11-inch (M2)
Geekbench AI Score
3438
Single Precision Score
26390
Half Precision Score
29273
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EriksLV |
| Upload Date | April 02 2025 04:14 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1376
256.0 IPS |
|
|
Image Classification (HP)
|
100% |
14472
2.69 KIPS |
|
|
Image Classification (Q)
|
96% |
15182
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1488
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19582
317.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24081
390.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6819
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
103578
120.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
104598
122.6 IPS |
|
|
Object Detection (SP)
|
100% |
1523
120.8 IPS |
|
|
Object Detection (HP)
|
99% |
15286
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
17201
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3104
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
33073
393.0 IPS |
|
|
Face Detection (Q)
|
100% |
41898
497.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5594
43.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
85235
656.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
107057
836.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18645
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
201774
259.4 IPS |
|
|
Style Transfer (Q)
|
96% |
194053
250.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4038
149.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39397
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47718
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
2264
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3844
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3828
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3675
63.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4239
73.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4419
76.4 IPS |
