iPad13,16
Geekbench ML Score
2839
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | June 27 2025 02:27 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.7.1 |
| Model | iPad13,16 |
| Model ID | iPad13,16 |
| Motherboard | J407AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.20 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4146
444.2 IPS |
|
|
Image Classification (F16)
|
100% |
5663
606.7 IPS |
|
|
Image Classification (I8)
|
81% |
675
72.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
8078
49.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
11788
72.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
1232
7.61 IPS |
|
|
Pose Estimation (F32)
|
100% |
3042
12.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
6759
27.3 IPS |
|
|
Pose Estimation (I8)
|
80% |
236
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
3526
123.7 IPS |
|
|
Object Detection (F16)
|
100% |
3546
124.5 IPS |
|
|
Object Detection (I8)
|
52% |
969
34.0 IPS |
|
|
Face Detection (F32)
|
100% |
7100
81.6 IPS |
|
|
Face Detection (F16)
|
97% |
12573
144.4 IPS |
|
|
Face Detection (I8)
|
75% |
949
10.9 IPS |
|
|
Text Classification (F32)
|
100% |
3251
1.29 KIPS |
|
|
Text Classification (F16)
|
100% |
3672
1.45 KIPS |
|
|
Machine Translation (F32)
|
100% |
1921
296.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1923
296.3 IPS |
