iPod (7th generation)
Geekbench ML Score
329
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 25 2025 05:02 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.5 |
| Model | iPod (7th generation) |
| Model ID | iPod9,1 |
| Motherboard | N112AP |
| CPU Information | |
|---|---|
| Name | Apple A10 Fusion |
| Topology | 1 Processor, 2 Cores |
| Identifier | ARM |
| Base Frequency | 1.63 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 | 1.97 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
354
37.9 IPS |
|
|
Image Classification (F16)
|
100% |
354
37.9 IPS |
|
|
Image Classification (I8)
|
81% |
221
23.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
449
2.77 IPS |
|
|
Image Segmentation (F16)
|
100% |
463
2.86 IPS |
|
|
Image Segmentation (I8)
|
89% |
413
2.55 IPS |
|
|
Pose Estimation (F32)
|
100% |
279
1.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
279
1.13 IPS |
|
|
Pose Estimation (I8)
|
80% |
86
0.35 IPS |
|
|
Object Detection (F32)
|
100% |
467
16.4 IPS |
|
|
Object Detection (F16)
|
100% |
468
16.4 IPS |
|
|
Object Detection (I8)
|
52% |
316
11.1 IPS |
|
|
Face Detection (F32)
|
100% |
786
9.03 IPS |
|
|
Face Detection (F16)
|
100% |
770
8.85 IPS |
|
|
Face Detection (I8)
|
75% |
294
3.38 IPS |
|
|
Text Classification (F32)
|
98% |
147
58.0 IPS |
|
|
Text Classification (F16)
|
98% |
136
53.7 IPS |
|
|
Machine Translation (F32)
|
100% |
423
65.1 IPS |
|
|
Machine Translation (F16)
|
100% |
414
63.9 IPS |
