iPad16,4
Geekbench AI Score
8630
Single Precision Score
10614
Half Precision Score
8981
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 10:20 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,4 |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.15 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4461
829.6 IPS |
|
|
Image Classification (HP)
|
100% |
4796
892.0 IPS |
|
|
Image Classification (Q)
|
97% |
3643
679.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4867
78.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6732
109.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7037
114.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
28040
32.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30009
35.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
27958
32.8 IPS |
|
|
Object Detection (SP)
|
100% |
4517
358.3 IPS |
|
|
Object Detection (HP)
|
100% |
5240
415.6 IPS |
|
|
Object Detection (Q)
|
91% |
4139
330.8 IPS |
|
|
Face Detection (SP)
|
100% |
12633
150.1 IPS |
|
|
Face Detection (HP)
|
100% |
16162
192.0 IPS |
|
|
Face Detection (Q)
|
100% |
11604
137.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20220
155.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
22320
172.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
17873
139.7 IPS |
|
|
Style Transfer (SP)
|
100% |
57357
73.7 IPS |
|
|
Style Transfer (HP)
|
100% |
67579
86.9 IPS |
|
|
Style Transfer (Q)
|
96% |
63396
81.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12136
448.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12984
479.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9891
365.2 IPS |
|
|
Text Classification (SP)
|
100% |
2950
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5389
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5272
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1589
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2096
36.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1679
29.0 IPS |
