iPad (5th generation)
Geekbench ML Score
528
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 23 2025 08:15 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.2 |
| Model | iPad (5th generation) |
| Model ID | iPad6,11 |
| Motherboard | J71tAP |
| CPU Information | |
|---|---|
| Name | Apple A9 |
| Topology | 1 Processor, 2 Cores |
| Identifier | ARM |
| Base Frequency | 1.80 GHz |
| L1 Instruction Cache | 64.0 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 3.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 1.93 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
496
53.2 IPS |
|
|
Image Classification (F16)
|
100% |
592
63.5 IPS |
|
|
Image Classification (I8)
|
81% |
193
20.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1163
7.18 IPS |
|
|
Image Segmentation (F16)
|
100% |
1890
11.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
367
2.27 IPS |
|
|
Pose Estimation (F32)
|
100% |
452
1.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
858
3.47 IPS |
|
|
Pose Estimation (I8)
|
80% |
67
0.27 IPS |
|
|
Object Detection (F32)
|
100% |
702
24.6 IPS |
|
|
Object Detection (F16)
|
100% |
958
33.6 IPS |
|
|
Object Detection (I8)
|
52% |
274
9.63 IPS |
|
|
Face Detection (F32)
|
100% |
1112
12.8 IPS |
|
|
Face Detection (F16)
|
97% |
1971
22.6 IPS |
|
|
Face Detection (I8)
|
75% |
270
3.10 IPS |
|
|
Text Classification (F32)
|
100% |
397
156.9 IPS |
|
|
Text Classification (F16)
|
98% |
504
199.5 IPS |
|
|
Machine Translation (F32)
|
100% |
461
71.0 IPS |
|
|
Machine Translation (F16)
|
100% |
457
70.4 IPS |
