iPad16,5
Geekbench AI Score
4452
Single Precision Score
6359
Half Precision Score
5436
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | September 08 2024 10:55 PM |
| Views | 15 |
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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1948
362.3 IPS |
|
|
Image Classification (HP)
|
100% |
2608
484.9 IPS |
|
|
Image Classification (Q)
|
96% |
1961
366.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1837
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1790
29.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2487
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9883
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18741
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
16240
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2085
165.4 IPS |
|
|
Object Detection (HP)
|
97% |
3041
242.1 IPS |
|
|
Object Detection (Q)
|
94% |
2293
182.8 IPS |
|
|
Face Detection (SP)
|
100% |
3567
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
5768
68.5 IPS |
|
|
Face Detection (Q)
|
100% |
3739
44.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7617
58.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
11207
86.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
8454
66.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24057
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35595
45.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29877
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5787
213.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6709
247.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4843
178.8 IPS |
|
|
Text Classification (SP)
|
100% |
3064
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
5059
6.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5238
7.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3584
61.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5207
90.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5183
89.6 IPS |
