iPad16,3
Geekbench AI Score
4725
Single Precision Score
30988
Half Precision Score
39574
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | asto18089 |
| Upload Date | August 16 2024 04:13 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.15 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1993
370.7 IPS |
|
|
Image Classification (HP)
|
100% |
16420
3.05 KIPS |
|
|
Image Classification (Q)
|
99% |
18458
3.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14002
227.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
14032
227.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10035
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
118651
138.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
224500
263.3 IPS |
|
|
Object Detection (SP)
|
100% |
2226
176.6 IPS |
|
|
Object Detection (HP)
|
100% |
16848
1.34 KIPS |
|
|
Object Detection (Q)
|
91% |
25604
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
3972
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
26598
316.0 IPS |
|
|
Face Detection (Q)
|
100% |
45364
539.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8299
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
82141
632.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
92133
712.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25080
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
168491
216.6 IPS |
|
|
Style Transfer (Q)
|
100% |
168766
217.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5882
217.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48647
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
82396
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3107
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
6170
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6202
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3900
67.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16078
277.0 IPS |
|
|
Machine Translation (Q)
|
98% |
17557
303.4 IPS |
