iPad14,8
Geekbench AI Score
3481
Single Precision Score
5999
Half Precision Score
4840
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | blueaura18 |
| Upload Date | September 28 2024 01:37 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad14,8 |
| Model ID | iPad14,8 |
| Motherboard | J507AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1385
257.6 IPS |
|
|
Image Classification (HP)
|
100% |
2519
468.5 IPS |
|
|
Image Classification (Q)
|
96% |
1766
329.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1546
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2492
40.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2831
45.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6879
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
15042
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12863
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1572
124.7 IPS |
|
|
Object Detection (HP)
|
97% |
2881
229.3 IPS |
|
|
Object Detection (Q)
|
94% |
2071
165.1 IPS |
|
|
Face Detection (SP)
|
100% |
3175
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6255
74.3 IPS |
|
|
Face Detection (Q)
|
100% |
3555
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5708
44.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11673
90.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8022
62.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18899
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28611
36.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23854
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4099
151.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4888
180.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3615
133.5 IPS |
|
|
Text Classification (SP)
|
100% |
2257
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3764
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3735
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3565
61.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5777
99.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5777
99.8 IPS |
