iPad16,1
Geekbench AI Score
3999
Single Precision Score
6884
Half Precision Score
5612
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 06:29 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1756
326.5 IPS |
|
|
Image Classification (HP)
|
100% |
2933
545.4 IPS |
|
|
Image Classification (Q)
|
96% |
2022
377.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1659
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2407
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3121
50.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7832
9.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
16127
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13784
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1796
142.4 IPS |
|
|
Object Detection (HP)
|
97% |
3373
268.5 IPS |
|
|
Object Detection (Q)
|
94% |
2366
188.6 IPS |
|
|
Face Detection (SP)
|
100% |
3402
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
7050
83.8 IPS |
|
|
Face Detection (Q)
|
100% |
3933
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6933
53.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13543
104.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9270
72.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20952
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32246
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27293
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4912
181.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5872
216.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4430
163.6 IPS |
|
|
Text Classification (SP)
|
100% |
3190
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5528
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5483
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3301
56.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6230
107.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6238
107.8 IPS |
