iPad16,3
Geekbench AI Score
3287
Single Precision Score
18873
Half Precision Score
24700
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Ricochet |
| Upload Date | September 08 2024 05:25 PM |
| Views | 16 |
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% |
1609
299.2 IPS |
|
|
Image Classification (HP)
|
100% |
9100
1.69 KIPS |
|
|
Image Classification (Q)
|
97% |
10410
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
947
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6843
110.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
13973
226.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9681
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
107026
124.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
187833
220.2 IPS |
|
|
Object Detection (SP)
|
100% |
1848
146.6 IPS |
|
|
Object Detection (HP)
|
100% |
11389
903.3 IPS |
|
|
Object Detection (Q)
|
93% |
14093
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
3079
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
16089
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
19503
231.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5771
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
62524
481.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
90401
706.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15044
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
159572
205.1 IPS |
|
|
Style Transfer (Q)
|
96% |
172888
223.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4905
181.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22818
842.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35026
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
1865
2.49 KIPS |
|
|
Text Classification (HP)
|
71% |
6900
9.92 KIPS |
|
|
Text Classification (Q)
|
69% |
6783
9.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2215
38.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2989
51.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3032
52.4 IPS |
