iPad16,4
Geekbench AI Score
8043
Single Precision Score
9018
Half Precision Score
8197
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | dank1 |
| Upload Date | August 19 2024 03:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.4 |
| Model | iPad16,4 |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4292
798.1 IPS |
|
|
Image Classification (HP)
|
100% |
4575
850.7 IPS |
|
|
Image Classification (Q)
|
99% |
4179
779.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4858
78.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6540
106.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
6424
104.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
28319
33.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
30162
35.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
27736
32.5 IPS |
|
|
Object Detection (SP)
|
100% |
4557
361.5 IPS |
|
|
Object Detection (HP)
|
100% |
4976
394.7 IPS |
|
|
Object Detection (Q)
|
92% |
3977
317.5 IPS |
|
|
Face Detection (SP)
|
100% |
12331
146.5 IPS |
|
|
Face Detection (HP)
|
100% |
15437
183.4 IPS |
|
|
Face Detection (Q)
|
100% |
11087
131.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20216
155.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
22360
172.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
22546
174.3 IPS |
|
|
Style Transfer (SP)
|
100% |
56380
72.5 IPS |
|
|
Style Transfer (HP)
|
100% |
67745
87.1 IPS |
|
|
Style Transfer (Q)
|
100% |
67167
86.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11532
425.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12627
466.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9941
368.3 IPS |
|
|
Text Classification (SP)
|
100% |
1594
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
1644
2.19 KIPS |
|
|
Text Classification (Q)
|
93% |
1291
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1630
28.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1633
28.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2148
37.1 IPS |
