iPad Air (5th generation)
Geekbench AI Score
4950
Single Precision Score
5734
Half Precision Score
5050
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 05:00 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2245
417.5 IPS |
|
|
Image Classification (HP)
|
100% |
2166
402.8 IPS |
|
|
Image Classification (Q)
|
97% |
2000
373.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2717
44.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3647
59.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3695
59.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17028
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18212
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16915
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2727
216.3 IPS |
|
|
Object Detection (HP)
|
100% |
2732
216.7 IPS |
|
|
Object Detection (Q)
|
91% |
2231
178.3 IPS |
|
|
Face Detection (SP)
|
100% |
6753
80.2 IPS |
|
|
Face Detection (HP)
|
100% |
8605
102.2 IPS |
|
|
Face Detection (Q)
|
100% |
5862
69.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12183
93.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13724
105.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
11386
89.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28967
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34200
44.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32101
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6454
238.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7242
267.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5499
203.1 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3960
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3948
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
888
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
844
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
833
14.4 IPS |
