iPad Air (5th generation)
Geekbench AI Score
4958
Single Precision Score
5730
Half Precision Score
5039
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | NycDriipy |
| Upload Date | December 12 2024 02:51 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
2428
451.5 IPS |
|
|
Image Classification (HP)
|
100% |
2198
408.8 IPS |
|
|
Image Classification (Q)
|
97% |
1907
355.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2702
43.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3641
59.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3709
60.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16896
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18277
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16899
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2718
215.6 IPS |
|
|
Object Detection (HP)
|
100% |
2746
217.8 IPS |
|
|
Object Detection (Q)
|
91% |
2194
175.4 IPS |
|
|
Face Detection (SP)
|
100% |
6807
80.9 IPS |
|
|
Face Detection (HP)
|
100% |
8436
100.2 IPS |
|
|
Face Detection (Q)
|
100% |
5709
67.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12263
94.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13760
106.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
11482
89.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28449
36.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34793
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32458
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6453
238.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7099
262.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5473
202.1 IPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3834
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3806
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
852
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
865
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
909
15.7 IPS |
