iPad16,1
Geekbench AI Score
3916
Single Precision Score
6799
Half Precision Score
5532
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | rthiemann |
| Upload Date | December 20 2024 07:38 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1735
322.7 IPS |
|
|
Image Classification (HP)
|
100% |
2900
539.4 IPS |
|
|
Image Classification (Q)
|
96% |
2008
375.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1642
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2541
41.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3118
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7511
8.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
15394
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13368
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1775
140.8 IPS |
|
|
Object Detection (HP)
|
97% |
3369
268.2 IPS |
|
|
Object Detection (Q)
|
94% |
2348
187.1 IPS |
|
|
Face Detection (SP)
|
100% |
3293
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
6958
82.7 IPS |
|
|
Face Detection (Q)
|
100% |
3869
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6776
52.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13325
103.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9153
71.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20286
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
31574
40.6 IPS |
|
|
Style Transfer (Q)
|
96% |
26791
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4675
172.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5546
204.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4264
157.5 IPS |
|
|
Text Classification (SP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5504
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5471
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3298
56.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6185
106.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6172
106.7 IPS |
