iPad Air 11-inch (M2)
Geekbench AI Score
3464
Single Precision Score
26192
Half Precision Score
29115
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 02 2025 05:53 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1400
260.3 IPS |
|
|
Image Classification (HP)
|
100% |
14478
2.69 KIPS |
|
|
Image Classification (Q)
|
96% |
15528
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1538
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19374
314.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23659
383.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6845
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
101900
118.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
105064
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
1548
122.8 IPS |
|
|
Object Detection (HP)
|
99% |
15053
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17076
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3157
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
32742
389.1 IPS |
|
|
Face Detection (Q)
|
100% |
41345
491.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5612
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
83733
645.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
106865
835.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18659
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
203071
261.1 IPS |
|
|
Style Transfer (Q)
|
96% |
192131
247.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3979
146.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38584
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46250
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
2231
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3778
5.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3762
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3720
64.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4353
75.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4497
77.7 IPS |
