iPad Air (5th generation)
Geekbench AI Score
3775
Single Precision Score
4634
Half Precision Score
3978
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | April 01 2025 12:29 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1886
350.7 IPS |
|
|
Image Classification (HP)
|
100% |
1929
358.6 IPS |
|
|
Image Classification (Q)
|
97% |
1711
319.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2356
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2946
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2669
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10241
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11353
13.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
10438
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
2001
158.7 IPS |
|
|
Object Detection (HP)
|
100% |
2352
186.6 IPS |
|
|
Object Detection (Q)
|
91% |
1942
155.2 IPS |
|
|
Face Detection (SP)
|
100% |
5111
60.7 IPS |
|
|
Face Detection (HP)
|
100% |
6405
76.1 IPS |
|
|
Face Detection (Q)
|
100% |
3945
46.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9027
69.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
10073
77.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8502
66.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18171
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32035
41.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29579
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6452
238.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7173
264.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5360
197.9 IPS |
|
|
Text Classification (SP)
|
100% |
1526
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
2573
3.43 KIPS |
|
|
Text Classification (Q)
|
93% |
2564
3.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
782
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
790
13.6 IPS |
|
|
Machine Translation (Q)
|
98% |
787
13.6 IPS |
