iPad16,3
Geekbench AI Score
3288
Single Precision Score
19014
Half Precision Score
22155
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Moklonus |
| Upload Date | August 18 2024 04:03 PM |
| Views | 19 |
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% |
1590
295.6 IPS |
|
|
Image Classification (HP)
|
100% |
9506
1.77 KIPS |
|
|
Image Classification (Q)
|
99% |
9934
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
947
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6877
111.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
6895
111.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9780
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
108189
126.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
185847
218.0 IPS |
|
|
Object Detection (SP)
|
100% |
1851
146.8 IPS |
|
|
Object Detection (HP)
|
100% |
11434
907.0 IPS |
|
|
Object Detection (Q)
|
93% |
14211
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3021
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
16097
191.3 IPS |
|
|
Face Detection (Q)
|
100% |
19498
231.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5772
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
62616
482.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
68466
529.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14974
19.2 IPS |
|
|
Style Transfer (HP)
|
100% |
159511
205.1 IPS |
|
|
Style Transfer (Q)
|
100% |
160683
206.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4924
181.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23096
852.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
34016
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
1869
2.49 KIPS |
|
|
Text Classification (HP)
|
71% |
6850
9.85 KIPS |
|
|
Text Classification (Q)
|
69% |
7222
10.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
2256
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3003
51.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2989
51.7 IPS |
