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 | February 12 2024 06:05 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.3.1 |
| 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% |
194
36.4 IPS |
|
|
Image Classification (F16)
|
100% |
177
33.1 IPS |
|
|
Image Classification (I8)
|
99% |
173
32.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
127
2.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
128
2.14 IPS |
|
|
Image Segmentation (I8)
|
100% |
127
2.13 IPS |
|
|
Pose Estimation (F32)
|
100% |
997
1.21 IPS |
|
|
Pose Estimation (F16)
|
100% |
944
1.14 IPS |
|
|
Pose Estimation (I8)
|
100% |
954
1.15 IPS |
|
|
Object Detection (F32)
|
100% |
206
15.4 IPS |
|
|
Object Detection (F16)
|
100% |
190
14.2 IPS |
|
|
Object Detection (I8)
|
97% |
212
15.9 IPS |
|
|
Face Detection (F32)
|
100% |
381
4.53 IPS |
|
|
Face Detection (F16)
|
100% |
384
4.56 IPS |
|
|
Face Detection (I8)
|
99% |
378
4.50 IPS |
|
|
Depth Estimation (F32)
|
100% |
508
3.94 IPS |
|
|
Depth Estimation (F16)
|
100% |
482
3.74 IPS |
|
|
Depth Estimation (I8)
|
99% |
476
3.70 IPS |
|
|
Style Transfer (F32)
|
100% |
1449
1.91 IPS |
|
|
Style Transfer (F16)
|
100% |
1482
1.95 IPS |
|
|
Style Transfer (I8)
|
100% |
1485
1.95 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
439
15.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
437
15.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
452
16.2 IPS |
|
|
Text Classification (F32)
|
100% |
161
231.7 IPS |
|
|
Text Classification (F16)
|
100% |
121
173.8 IPS |
|
|
Text Classification (I8)
|
96% |
145
208.1 IPS |
|
|
Machine Translation (F32)
|
100% |
157
2.88 IPS |
|
|
Machine Translation (F16)
|
100% |
121
2.22 IPS |
|
|
Machine Translation (I8)
|
99% |
145
2.67 IPS |
