iPad Air 13-inch (M2)
Geekbench AI Score
3446
Single Precision Score
26555
Half Precision Score
29071
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 26 2025 07:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| Model | iPad Air 13-inch (M2) |
| Model ID | iPad14,10 |
| Motherboard | J537AP |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1379
256.4 IPS |
|
|
Image Classification (HP)
|
100% |
14787
2.75 KIPS |
|
|
Image Classification (Q)
|
96% |
15097
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1473
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19613
317.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24014
389.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6845
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
106702
124.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
104465
122.4 IPS |
|
|
Object Detection (SP)
|
100% |
1536
121.9 IPS |
|
|
Object Detection (HP)
|
99% |
15058
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17128
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3133
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
32886
390.8 IPS |
|
|
Face Detection (Q)
|
100% |
41592
494.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5608
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
84703
652.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
106852
835.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18619
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
203746
261.9 IPS |
|
|
Style Transfer (Q)
|
96% |
188187
242.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3960
146.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39633
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46556
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
2296
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3845
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3820
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3718
64.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4327
74.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4469
77.2 IPS |
