iPad14,8
Geekbench AI Score
5862
Single Precision Score
6589
Half Precision Score
5926
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | October 08 2024 05:42 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
2905
540.3 IPS |
|
|
Image Classification (HP)
|
100% |
2914
541.9 IPS |
|
|
Image Classification (Q)
|
97% |
2375
443.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3818
61.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4555
73.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4520
73.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
22353
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
23810
27.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
21738
25.5 IPS |
|
|
Object Detection (SP)
|
100% |
2855
226.4 IPS |
|
|
Object Detection (HP)
|
100% |
3149
249.8 IPS |
|
|
Object Detection (Q)
|
91% |
2497
199.5 IPS |
|
|
Face Detection (SP)
|
100% |
9668
114.9 IPS |
|
|
Face Detection (HP)
|
100% |
10850
128.9 IPS |
|
|
Face Detection (Q)
|
100% |
7587
90.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15525
119.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
16458
126.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
12947
101.2 IPS |
|
|
Style Transfer (SP)
|
100% |
38450
49.4 IPS |
|
|
Style Transfer (HP)
|
100% |
43262
55.6 IPS |
|
|
Style Transfer (Q)
|
96% |
40713
52.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8086
298.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8470
312.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6449
238.1 IPS |
|
|
Text Classification (SP)
|
100% |
2220
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3679
4.91 KIPS |
|
|
Text Classification (Q)
|
93% |
3654
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
654
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (Q)
|
98% |
973
16.8 IPS |
