iPad Air (5th generation)
Geekbench AI Score
3528
Single Precision Score
3739
Half Precision Score
3693
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 04:19 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1904
354.1 IPS |
|
|
Image Classification (HP)
|
100% |
1994
370.9 IPS |
|
|
Image Classification (Q)
|
97% |
1636
305.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2441
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3054
49.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2642
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11021
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11277
13.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
10520
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1995
158.2 IPS |
|
|
Object Detection (HP)
|
100% |
2290
181.6 IPS |
|
|
Object Detection (Q)
|
91% |
2215
177.0 IPS |
|
|
Face Detection (SP)
|
100% |
5399
64.2 IPS |
|
|
Face Detection (HP)
|
100% |
5333
63.4 IPS |
|
|
Face Detection (Q)
|
100% |
3916
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8847
68.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3611
27.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8193
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14425
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
23203
29.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22489
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6395
236.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6697
247.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5373
198.4 IPS |
|
|
Text Classification (SP)
|
100% |
1541
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2612
3.49 KIPS |
|
|
Text Classification (Q)
|
93% |
2604
3.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
431
7.43 IPS |
|
|
Machine Translation (HP)
|
100% |
435
7.50 IPS |
|
|
Machine Translation (Q)
|
98% |
465
8.04 IPS |
