iPad Air (5th generation)
Geekbench AI Score
2175
Single Precision Score
3562
Half Precision Score
2864
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | May 17 2025 02:21 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| Model | iPad Air (5th generation) |
| Model ID | iPad13,16 |
| Motherboard | J407AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
921
171.2 IPS |
|
|
Image Classification (HP)
|
100% |
1387
257.9 IPS |
|
|
Image Classification (Q)
|
96% |
981
183.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
971
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1470
23.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1630
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4259
4.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
9350
10.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
7888
9.25 IPS |
|
|
Object Detection (SP)
|
100% |
993
78.8 IPS |
|
|
Object Detection (HP)
|
97% |
1569
124.9 IPS |
|
|
Object Detection (Q)
|
94% |
1138
90.7 IPS |
|
|
Face Detection (SP)
|
100% |
2172
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
3640
43.3 IPS |
|
|
Face Detection (Q)
|
100% |
2057
24.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3709
28.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
6676
51.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
4629
36.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11295
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17444
22.4 IPS |
|
|
Style Transfer (Q)
|
96% |
14267
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2489
91.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3031
111.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2238
82.6 IPS |
|
|
Text Classification (SP)
|
100% |
1537
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
2653
3.54 KIPS |
|
|
Text Classification (Q)
|
93% |
2649
3.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1805
31.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3231
55.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3214
55.5 IPS |
