iPad (6th generation)
Geekbench ML Score
318
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 16 2024 06:28 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6 |
| Model | iPad (6th generation) |
| Model ID | iPad7,5 |
| Motherboard | J71bAP |
| CPU Information | |
|---|---|
| Name | Apple A10 Fusion |
| Topology | 1 Processor, 2 Cores |
| Identifier | ARM |
| Base Frequency | 2.32 GHz |
| Cluster 1 | 2 Cores |
| 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 | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
197
36.8 IPS |
|
|
Image Classification (F16)
|
100% |
175
32.8 IPS |
|
|
Image Classification (I8)
|
99% |
173
32.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
125
2.08 IPS |
|
|
Image Segmentation (F16)
|
100% |
128
2.13 IPS |
|
|
Image Segmentation (I8)
|
100% |
125
2.09 IPS |
|
|
Pose Estimation (F32)
|
100% |
972
1.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
937
1.13 IPS |
|
|
Pose Estimation (I8)
|
100% |
917
1.11 IPS |
|
|
Object Detection (F32)
|
100% |
212
15.8 IPS |
|
|
Object Detection (F16)
|
100% |
186
13.9 IPS |
|
|
Object Detection (I8)
|
97% |
213
15.9 IPS |
|
|
Face Detection (F32)
|
100% |
387
4.60 IPS |
|
|
Face Detection (F16)
|
100% |
368
4.37 IPS |
|
|
Face Detection (I8)
|
99% |
384
4.57 IPS |
|
|
Depth Estimation (F32)
|
100% |
519
4.03 IPS |
|
|
Depth Estimation (F16)
|
100% |
493
3.83 IPS |
|
|
Depth Estimation (I8)
|
99% |
487
3.78 IPS |
|
|
Style Transfer (F32)
|
100% |
1460
1.92 IPS |
|
|
Style Transfer (F16)
|
100% |
1463
1.92 IPS |
|
|
Style Transfer (I8)
|
100% |
1446
1.90 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
416
14.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
415
14.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
441
15.7 IPS |
|
|
Text Classification (F32)
|
100% |
180
258.2 IPS |
|
|
Text Classification (F16)
|
100% |
142
204.6 IPS |
|
|
Text Classification (I8)
|
96% |
140
201.9 IPS |
|
|
Machine Translation (F32)
|
100% |
143
2.64 IPS |
|
|
Machine Translation (F16)
|
100% |
124
2.29 IPS |
|
|
Machine Translation (I8)
|
99% |
139
2.56 IPS |
