iPad Air (5th generation)
Geekbench AI Score
3218
Single Precision Score
5393
Half Precision Score
4413
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | May 27 2025 04:39 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1414
263.0 IPS |
|
|
Image Classification (HP)
|
100% |
2220
412.8 IPS |
|
|
Image Classification (Q)
|
96% |
1580
295.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1386
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2228
36.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2552
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6498
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
14234
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12221
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1502
119.1 IPS |
|
|
Object Detection (HP)
|
97% |
2418
192.5 IPS |
|
|
Object Detection (Q)
|
94% |
1788
142.5 IPS |
|
|
Face Detection (SP)
|
100% |
3027
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
5449
64.7 IPS |
|
|
Face Detection (Q)
|
100% |
3183
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5642
43.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10389
80.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7376
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17003
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26958
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22343
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3693
136.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4645
171.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3507
129.5 IPS |
|
|
Text Classification (SP)
|
100% |
2310
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3846
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3827
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2518
43.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4489
77.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4525
78.2 IPS |
