iPad16,5
Geekbench AI Score
4702
Single Precision Score
7874
Half Precision Score
6305
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 12:00 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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 | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1976
367.5 IPS |
|
|
Image Classification (HP)
|
100% |
3336
620.4 IPS |
|
|
Image Classification (Q)
|
96% |
2322
433.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3199
51.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3596
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10026
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19069
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16460
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2210
175.3 IPS |
|
|
Object Detection (HP)
|
97% |
3805
302.9 IPS |
|
|
Object Detection (Q)
|
94% |
2684
214.0 IPS |
|
|
Face Detection (SP)
|
100% |
3909
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
7613
90.5 IPS |
|
|
Face Detection (Q)
|
100% |
4432
52.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8258
63.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14636
113.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10122
79.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25125
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38171
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31389
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5831
215.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6904
254.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4897
180.8 IPS |
|
|
Text Classification (SP)
|
100% |
3104
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
5722
7.64 KIPS |
|
|
Text Classification (Q)
|
93% |
5575
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3888
67.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7045
121.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7006
121.1 IPS |
