iPad Air 11-inch (M2)
Geekbench AI Score
7535
Single Precision Score
8190
Half Precision Score
7742
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | uditrpanchal |
| Upload Date | March 04 2026 06:18 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3013
560.2 IPS |
|
|
Image Classification (HP)
|
100% |
3104
577.3 IPS |
|
|
Image Classification (Q)
|
94% |
2882
538.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
5226
84.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5349
86.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5113
82.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
22396
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
24489
28.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
23789
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
3187
252.8 IPS |
|
|
Object Detection (HP)
|
100% |
3173
251.6 IPS |
|
|
Object Detection (Q)
|
91% |
3058
244.4 IPS |
|
|
Face Detection (SP)
|
100% |
9943
118.1 IPS |
|
|
Face Detection (HP)
|
100% |
11285
134.1 IPS |
|
|
Face Detection (Q)
|
100% |
10426
123.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15652
120.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
16773
129.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
15693
122.7 IPS |
|
|
Style Transfer (SP)
|
100% |
38460
49.4 IPS |
|
|
Style Transfer (HP)
|
100% |
44585
57.3 IPS |
|
|
Style Transfer (Q)
|
96% |
43013
55.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7942
293.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8521
314.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7381
272.5 IPS |
|
|
Text Classification (SP)
|
99% |
4080
5.45 KIPS |
|
|
Text Classification (HP)
|
100% |
6443
8.60 KIPS |
|
|
Text Classification (Q)
|
92% |
6528
8.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2710
46.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2274
39.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2131
36.8 IPS |
