iPad16,4
Geekbench AI Score
8993
Single Precision Score
10722
Half Precision Score
9125
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 10:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,4 |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.15 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4547
845.5 IPS |
|
|
Image Classification (HP)
|
100% |
4833
898.8 IPS |
|
|
Image Classification (Q)
|
97% |
3643
679.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4828
78.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6664
108.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7024
113.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
28053
32.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30091
35.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
27959
32.8 IPS |
|
|
Object Detection (SP)
|
100% |
4751
376.8 IPS |
|
|
Object Detection (HP)
|
100% |
5217
413.8 IPS |
|
|
Object Detection (Q)
|
91% |
4143
331.0 IPS |
|
|
Face Detection (SP)
|
100% |
12648
150.3 IPS |
|
|
Face Detection (HP)
|
100% |
16171
192.1 IPS |
|
|
Face Detection (Q)
|
100% |
11548
137.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20331
156.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
22307
171.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
17931
140.2 IPS |
|
|
Style Transfer (SP)
|
100% |
56485
72.6 IPS |
|
|
Style Transfer (HP)
|
100% |
67666
87.0 IPS |
|
|
Style Transfer (Q)
|
96% |
63351
81.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11931
440.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12689
468.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9985
368.7 IPS |
|
|
Text Classification (SP)
|
100% |
3497
4.67 KIPS |
|
|
Text Classification (HP)
|
100% |
6173
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6141
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1953
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2079
35.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1680
29.0 IPS |
