iPad16,3
Geekbench AI Score
4460
Single Precision Score
6371
Half Precision Score
5251
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | roobarb! |
| Upload Date | August 29 2024 07:42 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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 | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1943
361.3 IPS |
|
|
Image Classification (HP)
|
100% |
2614
486.2 IPS |
|
|
Image Classification (Q)
|
99% |
2589
482.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1825
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1770
28.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1755
28.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9868
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18753
21.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
16034
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2075
164.6 IPS |
|
|
Object Detection (HP)
|
97% |
3031
241.3 IPS |
|
|
Object Detection (Q)
|
94% |
2283
182.0 IPS |
|
|
Face Detection (SP)
|
100% |
3587
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
5756
68.4 IPS |
|
|
Face Detection (Q)
|
100% |
3684
43.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7593
58.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
11177
86.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
5740
44.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24131
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35490
45.6 IPS |
|
|
Style Transfer (Q)
|
100% |
35609
45.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5808
214.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6840
252.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4804
178.0 IPS |
|
|
Text Classification (SP)
|
100% |
3130
4.18 KIPS |
|
|
Text Classification (HP)
|
100% |
5157
6.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5141
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3590
61.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5202
89.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5153
89.1 IPS |
