iPad Air (5th generation)
Geekbench AI Score
3231
Single Precision Score
5321
Half Precision Score
4391
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | March 12 2025 01:40 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1400
260.4 IPS |
|
|
Image Classification (HP)
|
100% |
2199
409.0 IPS |
|
|
Image Classification (Q)
|
96% |
1573
293.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1389
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2213
35.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2599
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6530
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
13877
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11997
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1521
120.7 IPS |
|
|
Object Detection (HP)
|
97% |
2443
194.5 IPS |
|
|
Object Detection (Q)
|
94% |
1802
143.6 IPS |
|
|
Face Detection (SP)
|
100% |
3046
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
5598
66.5 IPS |
|
|
Face Detection (Q)
|
100% |
3238
38.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5733
44.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11055
85.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7669
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17191
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26413
34.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22048
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3763
139.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4383
161.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3362
124.1 IPS |
|
|
Text Classification (SP)
|
100% |
2297
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3879
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3891
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2480
42.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3975
68.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4210
72.8 IPS |
