iPad16,4
Geekbench AI Score
8680
Single Precision Score
10590
Half Precision Score
7733
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | jimscard |
| Upload Date | August 16 2024 06:35 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,4 |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.15 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4486
834.2 IPS |
|
|
Image Classification (HP)
|
100% |
5003
930.5 IPS |
|
|
Image Classification (Q)
|
99% |
4505
840.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4876
79.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6716
108.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
6663
108.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
28436
33.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
30217
35.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
27827
32.6 IPS |
|
|
Object Detection (SP)
|
100% |
4827
382.9 IPS |
|
|
Object Detection (HP)
|
100% |
5211
413.4 IPS |
|
|
Object Detection (Q)
|
91% |
4161
332.5 IPS |
|
|
Face Detection (SP)
|
100% |
12665
150.5 IPS |
|
|
Face Detection (HP)
|
100% |
16189
192.4 IPS |
|
|
Face Detection (Q)
|
100% |
11656
138.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20513
158.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22451
173.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
3453
26.7 IPS |
|
|
Style Transfer (SP)
|
100% |
56405
72.5 IPS |
|
|
Style Transfer (HP)
|
100% |
67822
87.2 IPS |
|
|
Style Transfer (Q)
|
100% |
67397
86.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11592
428.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12653
467.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9706
359.6 IPS |
|
|
Text Classification (SP)
|
100% |
2994
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5098
6.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5007
6.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1590
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2109
36.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1670
28.9 IPS |
