iPad Pro (9.7-inch)
Geekbench ML Score
368
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 29 2024 06:01 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| Model | iPad Pro (9.7-inch) |
| Model ID | iPad6,3 |
| Motherboard | J127AP |
| CPU Information | |
|---|---|
| Name | Apple A9X |
| Topology | 1 Processor, 2 Cores |
| Identifier | ARM |
| Base Frequency | 2.26 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 | 1.92 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
446
47.8 IPS |
|
|
Image Classification (F16)
|
100% |
443
47.5 IPS |
|
|
Image Classification (I8)
|
81% |
232
24.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
637
3.93 IPS |
|
|
Image Segmentation (F16)
|
100% |
636
3.93 IPS |
|
|
Image Segmentation (I8)
|
89% |
434
2.68 IPS |
|
|
Pose Estimation (F32)
|
100% |
618
2.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
612
2.48 IPS |
|
|
Pose Estimation (I8)
|
80% |
81
0.33 IPS |
|
|
Object Detection (F32)
|
100% |
512
18.0 IPS |
|
|
Object Detection (F16)
|
100% |
545
19.1 IPS |
|
|
Object Detection (I8)
|
52% |
330
11.6 IPS |
|
|
Face Detection (F32)
|
100% |
888
10.2 IPS |
|
|
Face Detection (F16)
|
100% |
900
10.3 IPS |
|
|
Face Detection (I8)
|
75% |
324
3.72 IPS |
|
|
Text Classification (F32)
|
98% |
84
33.1 IPS |
|
|
Text Classification (F16)
|
98% |
75
29.5 IPS |
|
|
Machine Translation (F32)
|
100% |
492
75.8 IPS |
|
|
Machine Translation (F16)
|
100% |
320
49.4 IPS |
