iPad16,3
Geekbench AI Score
3292
Single Precision Score
19160
Half Precision Score
24991
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 12:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.7.1 |
| 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% |
1604
298.3 IPS |
|
|
Image Classification (HP)
|
100% |
9273
1.72 KIPS |
|
|
Image Classification (Q)
|
97% |
10965
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
945
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6841
110.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
14067
228.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9741
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
107471
125.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
189527
222.1 IPS |
|
|
Object Detection (SP)
|
100% |
1865
147.9 IPS |
|
|
Object Detection (HP)
|
100% |
11855
940.4 IPS |
|
|
Object Detection (Q)
|
93% |
14619
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3053
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
16029
190.5 IPS |
|
|
Face Detection (Q)
|
100% |
19481
231.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5762
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
63097
486.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
91763
717.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14908
19.2 IPS |
|
|
Style Transfer (HP)
|
100% |
160702
206.6 IPS |
|
|
Style Transfer (Q)
|
96% |
172638
222.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4867
179.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23991
885.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35973
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
1885
2.52 KIPS |
|
|
Text Classification (HP)
|
71% |
6907
9.93 KIPS |
|
|
Text Classification (Q)
|
69% |
6729
9.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2257
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3064
52.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2977
51.4 IPS |
