iPad16,4
Geekbench AI Score
4783
Single Precision Score
7887
Half Precision Score
6344
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 10:21 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1974
367.2 IPS |
|
|
Image Classification (HP)
|
100% |
3328
618.9 IPS |
|
|
Image Classification (Q)
|
96% |
2317
432.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2082
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3218
52.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3618
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10086
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19112
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16490
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2214
175.6 IPS |
|
|
Object Detection (HP)
|
97% |
3809
303.3 IPS |
|
|
Object Detection (Q)
|
94% |
2711
216.1 IPS |
|
|
Face Detection (SP)
|
100% |
3969
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
7673
91.2 IPS |
|
|
Face Detection (Q)
|
100% |
4472
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8290
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14666
113.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10202
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25152
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38354
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31734
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5869
216.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6852
253.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4900
180.9 IPS |
|
|
Text Classification (SP)
|
100% |
3492
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
6169
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6125
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4033
69.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6550
113.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6492
112.2 IPS |
