iPad Air (5th generation)
Geekbench AI Score
4948
Single Precision Score
5731
Half Precision Score
5005
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | MidniteMarv |
| Upload Date | February 11 2025 03:15 PM |
| Views | 8 |
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% |
2388
444.1 IPS |
|
|
Image Classification (HP)
|
100% |
2201
409.3 IPS |
|
|
Image Classification (Q)
|
97% |
1877
350.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2668
43.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3647
59.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3693
59.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16968
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18244
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16919
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2726
216.2 IPS |
|
|
Object Detection (HP)
|
100% |
2753
218.4 IPS |
|
|
Object Detection (Q)
|
91% |
2231
178.2 IPS |
|
|
Face Detection (SP)
|
100% |
6875
81.7 IPS |
|
|
Face Detection (HP)
|
100% |
8378
99.6 IPS |
|
|
Face Detection (Q)
|
100% |
5783
68.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12134
93.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13701
105.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
11469
89.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28505
36.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34892
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
32500
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6431
237.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7099
262.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5315
196.3 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3863
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3851
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
864
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
856
14.8 IPS |
