iPad Air (5th generation)
Geekbench AI Score
5143
Single Precision Score
5928
Half Precision Score
5582
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | April 07 2025 02:42 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2092
389.1 IPS |
|
|
Image Classification (HP)
|
100% |
2218
412.5 IPS |
|
|
Image Classification (Q)
|
96% |
2320
433.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4012
65.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4239
68.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4088
66.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16967
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18388
21.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
17543
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
2656
210.7 IPS |
|
|
Object Detection (HP)
|
100% |
2711
215.0 IPS |
|
|
Object Detection (Q)
|
92% |
2402
191.7 IPS |
|
|
Face Detection (SP)
|
100% |
6813
81.0 IPS |
|
|
Face Detection (HP)
|
100% |
8419
100.0 IPS |
|
|
Face Detection (Q)
|
100% |
7076
84.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12268
94.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13810
106.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
12622
98.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28721
36.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34796
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
33377
43.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6424
237.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7159
264.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6052
223.5 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3921
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3877
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
971
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1007
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1051
18.2 IPS |
