iPad14,4
Geekbench AI Score
3463
Single Precision Score
5929
Half Precision Score
4810
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | September 24 2024 02:59 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1381
256.8 IPS |
|
|
Image Classification (HP)
|
100% |
2504
465.7 IPS |
|
|
Image Classification (Q)
|
96% |
1754
327.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1576
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2433
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2827
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6881
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14786
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12744
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (HP)
|
97% |
2878
229.1 IPS |
|
|
Object Detection (Q)
|
94% |
2077
165.6 IPS |
|
|
Face Detection (SP)
|
100% |
3141
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6164
73.2 IPS |
|
|
Face Detection (Q)
|
100% |
3537
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5687
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11571
89.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7971
62.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18829
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28579
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23750
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4039
149.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4821
178.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3615
133.5 IPS |
|
|
Text Classification (SP)
|
100% |
2198
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3677
4.91 KIPS |
|
|
Text Classification (Q)
|
93% |
3648
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3572
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5735
99.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5725
98.9 IPS |
