iPad16,3
Geekbench AI Score
4717
Single Precision Score
35128
Half Precision Score
48790
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 05:54 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2000
372.0 IPS |
|
|
Image Classification (HP)
|
100% |
17225
3.20 KIPS |
|
|
Image Classification (Q)
|
97% |
23573
4.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16404
265.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
20533
332.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10086
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123170
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
231377
271.2 IPS |
|
|
Object Detection (SP)
|
100% |
2217
175.9 IPS |
|
|
Object Detection (HP)
|
100% |
18203
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25681
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
3959
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
41703
495.5 IPS |
|
|
Face Detection (Q)
|
100% |
60833
722.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8311
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
97740
753.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
167212
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25120
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
228770
294.1 IPS |
|
|
Style Transfer (Q)
|
96% |
294682
380.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5892
217.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48865
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83357
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
6021
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5857
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3964
68.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16463
283.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18162
313.9 IPS |
