iPad16,6
Geekbench AI Score
4716
Single Precision Score
7813
Half Precision Score
6288
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ericswei |
| Upload Date | November 09 2024 12:13 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,6 |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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% |
1989
370.0 IPS |
|
|
Image Classification (HP)
|
100% |
3305
614.7 IPS |
|
|
Image Classification (Q)
|
96% |
2325
434.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2130
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3259
52.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3657
59.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10040
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19101
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16482
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2200
174.5 IPS |
|
|
Object Detection (HP)
|
97% |
3773
300.4 IPS |
|
|
Object Detection (Q)
|
94% |
2682
213.7 IPS |
|
|
Face Detection (SP)
|
100% |
3927
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
7683
91.3 IPS |
|
|
Face Detection (Q)
|
100% |
4469
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8277
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14352
110.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9984
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25044
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38022
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31534
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5844
215.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6890
254.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4862
179.5 IPS |
|
|
Text Classification (SP)
|
100% |
3174
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
5515
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5428
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3853
66.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6860
118.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6935
119.8 IPS |
