iPad16,2
Geekbench AI Score
3653
Single Precision Score
3926
Half Precision Score
3750
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 11 2024 01:03 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad16,2 |
| Model ID | iPad16,2 |
| Motherboard | J411AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.06 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1036
192.7 IPS |
|
|
Image Classification (HP)
|
100% |
1055
196.2 IPS |
|
|
Image Classification (Q)
|
97% |
1053
196.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2942
47.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3511
56.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3381
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8224
9.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
9290
10.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
8895
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1791
142.0 IPS |
|
|
Object Detection (HP)
|
100% |
1548
122.8 IPS |
|
|
Object Detection (Q)
|
91% |
1488
118.9 IPS |
|
|
Face Detection (SP)
|
100% |
5784
68.7 IPS |
|
|
Face Detection (HP)
|
100% |
5832
69.3 IPS |
|
|
Face Detection (Q)
|
100% |
5338
63.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9846
75.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
10471
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8860
69.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21983
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22941
29.5 IPS |
|
|
Style Transfer (Q)
|
96% |
20922
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5169
190.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3924
144.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3656
135.0 IPS |
|
|
Text Classification (SP)
|
100% |
3274
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
5741
7.66 KIPS |
|
|
Text Classification (Q)
|
93% |
5564
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
446
7.67 IPS |
|
|
Machine Translation (HP)
|
100% |
518
8.92 IPS |
|
|
Machine Translation (Q)
|
98% |
581
10.0 IPS |
