iPad16,5
Geekbench AI Score
4670
Single Precision Score
7853
Half Precision Score
6290
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 06:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1981
368.4 IPS |
|
|
Image Classification (HP)
|
100% |
3312
615.9 IPS |
|
|
Image Classification (Q)
|
96% |
2311
431.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2091
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3288
53.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3631
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9948
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18990
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16346
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2195
174.1 IPS |
|
|
Object Detection (HP)
|
97% |
3776
300.6 IPS |
|
|
Object Detection (Q)
|
94% |
2676
213.3 IPS |
|
|
Face Detection (SP)
|
100% |
3937
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
7718
91.7 IPS |
|
|
Face Detection (Q)
|
100% |
4466
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8279
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14588
112.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10165
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25128
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38086
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31485
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5842
215.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6847
252.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4841
178.8 IPS |
|
|
Text Classification (SP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5626
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5474
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3872
66.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6921
119.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6974
120.5 IPS |
