iPad16,5
Geekbench AI Score
4407
Single Precision Score
6309
Half Precision Score
5201
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | dbcerogert |
| Upload Date | August 16 2024 05:22 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 3.88 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1878
349.3 IPS |
|
|
Image Classification (HP)
|
100% |
2538
472.0 IPS |
|
|
Image Classification (Q)
|
99% |
2507
467.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1760
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1706
27.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
1704
27.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9772
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18721
21.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
15963
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2064
163.7 IPS |
|
|
Object Detection (HP)
|
97% |
3019
240.3 IPS |
|
|
Object Detection (Q)
|
94% |
2259
180.1 IPS |
|
|
Face Detection (SP)
|
100% |
3575
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
5733
68.1 IPS |
|
|
Face Detection (Q)
|
100% |
3658
43.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7575
58.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
11133
86.0 IPS |
|
|
Depth Estimation (Q)
|
96% |
5706
44.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24034
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35215
45.3 IPS |
|
|
Style Transfer (Q)
|
100% |
35157
45.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5801
214.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6857
253.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4786
177.3 IPS |
|
|
Text Classification (SP)
|
100% |
3075
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
5023
6.70 KIPS |
|
|
Text Classification (Q)
|
93% |
5021
6.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3571
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5277
91.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5340
92.3 IPS |
