iPad14,11
Geekbench AI Score
3448
Single Precision Score
5921
Half Precision Score
4789
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 07:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad14,11 |
| Model ID | iPad14,11 |
| Motherboard | J538AP |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1376
255.9 IPS |
|
|
Image Classification (HP)
|
100% |
2505
465.9 IPS |
|
|
Image Classification (Q)
|
96% |
1738
324.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1518
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2438
39.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2811
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6856
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
14826
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12742
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1555
123.4 IPS |
|
|
Object Detection (HP)
|
97% |
2869
228.4 IPS |
|
|
Object Detection (Q)
|
94% |
2066
164.7 IPS |
|
|
Face Detection (SP)
|
100% |
3132
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
6113
72.6 IPS |
|
|
Face Detection (Q)
|
100% |
3526
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5714
44.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11599
89.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7963
62.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18820
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28405
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23633
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4037
149.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4807
177.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3579
132.2 IPS |
|
|
Text Classification (SP)
|
100% |
2232
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3646
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3622
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3522
60.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5781
99.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5739
99.2 IPS |
