iPad14,8
Geekbench AI Score
5871
Single Precision Score
6495
Half Precision Score
5829
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 06:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
2866
533.0 IPS |
|
|
Image Classification (HP)
|
100% |
2893
537.9 IPS |
|
|
Image Classification (Q)
|
97% |
2440
455.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3838
62.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4553
73.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4590
74.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
22143
25.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
23602
27.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
22017
25.8 IPS |
|
|
Object Detection (SP)
|
100% |
3128
248.1 IPS |
|
|
Object Detection (HP)
|
100% |
2821
223.8 IPS |
|
|
Object Detection (Q)
|
91% |
2237
178.7 IPS |
|
|
Face Detection (SP)
|
100% |
8891
105.6 IPS |
|
|
Face Detection (HP)
|
100% |
9844
117.0 IPS |
|
|
Face Detection (Q)
|
100% |
7411
88.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
14581
112.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
16078
123.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
13065
102.1 IPS |
|
|
Style Transfer (SP)
|
100% |
38107
49.0 IPS |
|
|
Style Transfer (HP)
|
100% |
43549
56.0 IPS |
|
|
Style Transfer (Q)
|
96% |
40693
52.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8051
297.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8359
308.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6658
245.9 IPS |
|
|
Text Classification (SP)
|
100% |
2199
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3693
4.93 KIPS |
|
|
Text Classification (Q)
|
93% |
3662
4.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
731
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
716
12.3 IPS |
|
|
Machine Translation (Q)
|
98% |
856
14.8 IPS |
