iPad14,8
Geekbench AI Score
5830
Single Precision Score
5830
Half Precision Score
1912
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 01:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad14,8 |
| Model ID | iPad14,8 |
| Motherboard | J507AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2854
530.7 IPS |
|
|
Image Classification (HP)
|
100% |
2877
535.0 IPS |
|
|
Image Classification (Q)
|
97% |
2161
403.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3803
61.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4534
73.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4465
72.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
22286
26.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
23669
27.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
21524
25.2 IPS |
|
|
Object Detection (SP)
|
100% |
3121
247.6 IPS |
|
|
Object Detection (HP)
|
100% |
3147
249.7 IPS |
|
|
Object Detection (Q)
|
92% |
2485
198.4 IPS |
|
|
Face Detection (SP)
|
100% |
9330
110.9 IPS |
|
|
Face Detection (HP)
|
100% |
10537
125.2 IPS |
|
|
Face Detection (Q)
|
100% |
7277
86.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15328
118.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
16261
125.3 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
99.9 IPS |
|
|
Style Transfer (SP)
|
100% |
38143
49.0 IPS |
|
|
Style Transfer (HP)
|
100% |
43505
55.9 IPS |
|
|
Style Transfer (Q)
|
96% |
40567
52.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7829
289.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8351
308.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6401
236.3 IPS |
|
|
Text Classification (SP)
|
100% |
1186
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
797
1.06 KIPS |
|
|
Text Classification (Q)
|
93% |
793
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1187
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
941
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
847
14.6 IPS |
