iPad Air 11-inch (M2)
Geekbench AI Score
2964
Single Precision Score
3442
Half Precision Score
5903
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 29 2024 12:29 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1724
320.6 IPS |
|
|
Image Classification (HP)
|
100% |
2782
517.4 IPS |
|
|
Image Classification (Q)
|
97% |
2465
460.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3877
62.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4599
74.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4689
76.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
22660
26.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
23785
27.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
22163
26.0 IPS |
|
|
Object Detection (SP)
|
100% |
3206
254.3 IPS |
|
|
Object Detection (HP)
|
100% |
3307
262.3 IPS |
|
|
Object Detection (Q)
|
91% |
2745
219.4 IPS |
|
|
Face Detection (SP)
|
100% |
8956
106.4 IPS |
|
|
Face Detection (HP)
|
100% |
10481
124.5 IPS |
|
|
Face Detection (Q)
|
100% |
7866
93.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15942
122.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
16985
130.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
14394
112.5 IPS |
|
|
Style Transfer (SP)
|
100% |
38233
49.1 IPS |
|
|
Style Transfer (HP)
|
100% |
44320
57.0 IPS |
|
|
Style Transfer (Q)
|
96% |
41469
53.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8972
331.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7945
293.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6833
252.3 IPS |
|
|
Text Classification (SP)
|
100% |
2202
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3707
4.95 KIPS |
|
|
Text Classification (Q)
|
93% |
3644
4.89 KIPS |
|
|
Machine Translation (SP)
|
0
|
||
|
Machine Translation (HP)
|
0
|
||
|
Machine Translation (Q)
|
98% |
625
10.8 IPS |
