iPad16,2
Geekbench AI Score
4489
Single Precision Score
4664
Half Precision Score
4452
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | icreatefrance |
| Upload Date | November 09 2024 12:49 PM |
| Views | 6 |
| Notes | iPad mini 7 |
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 | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1386
257.7 IPS |
|
|
Image Classification (HP)
|
100% |
1003
186.6 IPS |
|
|
Image Classification (Q)
|
97% |
1244
232.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3096
50.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3415
55.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3452
56.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12330
14.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
12706
14.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12117
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
2089
165.7 IPS |
|
|
Object Detection (HP)
|
100% |
1927
152.8 IPS |
|
|
Object Detection (Q)
|
91% |
1683
134.5 IPS |
|
|
Face Detection (SP)
|
100% |
6016
71.5 IPS |
|
|
Face Detection (HP)
|
100% |
6083
72.3 IPS |
|
|
Face Detection (Q)
|
100% |
5483
65.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9812
75.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
10835
83.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9302
72.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26002
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29191
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27738
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5183
191.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4333
160.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3610
133.3 IPS |
|
|
Text Classification (SP)
|
100% |
3279
4.38 KIPS |
|
|
Text Classification (HP)
|
100% |
5768
7.70 KIPS |
|
|
Text Classification (Q)
|
93% |
5738
7.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1154
19.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1208
20.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1194
20.6 IPS |
