iPad Air 11-inch (M2)
Geekbench AI Score
2242
Single Precision Score
18109
Half Precision Score
19779
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 12 2025 04:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
877
163.2 IPS |
|
|
Image Classification (HP)
|
100% |
10524
1.96 KIPS |
|
|
Image Classification (Q)
|
96% |
11982
2.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
976
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13167
213.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
16336
264.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4071
4.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
66973
78.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
66246
77.6 IPS |
|
|
Object Detection (SP)
|
100% |
1026
81.4 IPS |
|
|
Object Detection (HP)
|
99% |
11406
907.3 IPS |
|
|
Object Detection (Q)
|
91% |
11748
938.7 IPS |
|
|
Face Detection (SP)
|
100% |
2189
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
21279
252.8 IPS |
|
|
Face Detection (Q)
|
100% |
26395
313.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3602
27.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
60816
468.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
73960
578.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11750
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
138110
177.5 IPS |
|
|
Style Transfer (Q)
|
96% |
130300
168.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2622
96.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28412
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33043
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
1488
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
2393
3.19 KIPS |
|
|
Text Classification (Q)
|
93% |
2383
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2490
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2949
50.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3004
51.9 IPS |
