iPad16,5
Geekbench AI Score
8897
Single Precision Score
10645
Half Precision Score
9322
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | achakbrooks |
| Upload Date | October 30 2024 05:16 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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 | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4551
846.3 IPS |
|
|
Image Classification (HP)
|
100% |
4792
891.2 IPS |
|
|
Image Classification (Q)
|
97% |
4133
771.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4787
77.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6718
108.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7136
115.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
28203
32.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
30079
35.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
28689
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
4761
377.6 IPS |
|
|
Object Detection (HP)
|
100% |
5178
410.7 IPS |
|
|
Object Detection (Q)
|
91% |
4404
351.9 IPS |
|
|
Face Detection (SP)
|
100% |
12715
151.1 IPS |
|
|
Face Detection (HP)
|
100% |
16284
193.5 IPS |
|
|
Face Detection (Q)
|
100% |
11902
141.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20556
158.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22661
174.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
18993
148.5 IPS |
|
|
Style Transfer (SP)
|
100% |
57845
74.4 IPS |
|
|
Style Transfer (HP)
|
100% |
67527
86.8 IPS |
|
|
Style Transfer (Q)
|
96% |
63793
82.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11832
436.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12898
476.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10445
385.7 IPS |
|
|
Text Classification (SP)
|
100% |
2998
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5457
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5395
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1982
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2125
36.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1637
28.3 IPS |
