iPad16,3
Geekbench AI Score
3291
Single Precision Score
18787
Half Precision Score
24665
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 11:10 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1618
300.8 IPS |
|
|
Image Classification (HP)
|
100% |
9005
1.67 KIPS |
|
|
Image Classification (Q)
|
97% |
10972
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
947
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6853
111.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13957
226.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9803
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
106987
124.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
187725
220.0 IPS |
|
|
Object Detection (SP)
|
100% |
1850
146.7 IPS |
|
|
Object Detection (HP)
|
100% |
11383
902.9 IPS |
|
|
Object Detection (Q)
|
93% |
14041
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
3045
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
15466
183.8 IPS |
|
|
Face Detection (Q)
|
100% |
19485
231.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5796
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
62609
482.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
90101
704.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14947
19.2 IPS |
|
|
Style Transfer (HP)
|
100% |
159649
205.2 IPS |
|
|
Style Transfer (Q)
|
96% |
171886
221.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4919
181.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23099
852.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
33836
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
1841
2.46 KIPS |
|
|
Text Classification (HP)
|
71% |
6794
9.77 KIPS |
|
|
Text Classification (Q)
|
69% |
6637
9.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2246
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3005
51.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3047
52.7 IPS |
