iPad Air 13-inch (M2)
Geekbench AI Score
3455
Single Precision Score
26294
Half Precision Score
29220
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 08 2025 09:09 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1391
258.8 IPS |
|
|
Image Classification (HP)
|
100% |
14465
2.69 KIPS |
|
|
Image Classification (Q)
|
96% |
15556
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1493
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19584
317.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23640
383.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6799
7.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
103743
121.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
106372
124.7 IPS |
|
|
Object Detection (SP)
|
100% |
1534
121.7 IPS |
|
|
Object Detection (HP)
|
99% |
15165
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
17045
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3107
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
33136
393.7 IPS |
|
|
Face Detection (Q)
|
100% |
41843
497.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5614
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
85305
657.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
104954
820.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18617
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
202707
260.6 IPS |
|
|
Style Transfer (Q)
|
96% |
193809
250.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4024
148.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37254
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47204
1.74 KIPS |
|
|
Text Classification (SP)
|
100% |
2318
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3863
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3797
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3699
63.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4300
74.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4461
77.1 IPS |
