iPad16,4
Geekbench AI Score
8632
Single Precision Score
10626
Half Precision Score
7756
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | jimscard |
| Upload Date | August 29 2024 05:57 AM |
| Views | 14 |
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% |
4475
832.3 IPS |
|
|
Image Classification (HP)
|
100% |
4800
892.6 IPS |
|
|
Image Classification (Q)
|
99% |
4467
833.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4808
77.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6681
108.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
6654
107.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
28147
32.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
30033
35.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
27630
32.4 IPS |
|
|
Object Detection (SP)
|
100% |
4758
377.4 IPS |
|
|
Object Detection (HP)
|
100% |
5207
413.0 IPS |
|
|
Object Detection (Q)
|
91% |
4149
331.5 IPS |
|
|
Face Detection (SP)
|
100% |
12660
150.4 IPS |
|
|
Face Detection (HP)
|
100% |
16182
192.3 IPS |
|
|
Face Detection (Q)
|
100% |
11560
137.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20500
157.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22734
175.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
3463
26.8 IPS |
|
|
Style Transfer (SP)
|
100% |
54534
70.1 IPS |
|
|
Style Transfer (HP)
|
100% |
66513
85.5 IPS |
|
|
Style Transfer (Q)
|
100% |
66057
84.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11541
426.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13295
490.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9781
362.3 IPS |
|
|
Text Classification (SP)
|
100% |
3006
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5324
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5308
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1624
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2114
36.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1684
29.1 IPS |
