iPad Pro (12.9-inch, 6th generation)
Geekbench ML Score
7455
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 09 2024 05:36 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| Model | iPad Pro (12.9-inch, 6th generation) |
| Model ID | iPad14,5 |
| Motherboard | J620AP |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 7.31 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3320
621.4 IPS |
|
|
Image Classification (F16)
|
100% |
6529
1.22 KIPS |
|
|
Image Classification (I8)
|
99% |
7035
1.32 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1447
24.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1591
26.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1583
26.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
22705
27.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
83037
100.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
83936
101.6 IPS |
|
|
Object Detection (F32)
|
100% |
2832
211.4 IPS |
|
|
Object Detection (F16)
|
100% |
3989
297.8 IPS |
|
|
Object Detection (I8)
|
97% |
2612
195.0 IPS |
|
|
Face Detection (F32)
|
100% |
9287
110.4 IPS |
|
|
Face Detection (F16)
|
97% |
10634
126.4 IPS |
|
|
Face Detection (I8)
|
96% |
10718
127.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
16067
124.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
36930
286.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
44283
343.4 IPS |
|
|
Style Transfer (F32)
|
100% |
39280
51.7 IPS |
|
|
Style Transfer (F16)
|
100% |
132396
174.2 IPS |
|
|
Style Transfer (I8)
|
100% |
132121
173.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9352
334.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18590
663.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17138
612.1 IPS |
|
|
Text Classification (F32)
|
100% |
1136
1.63 KIPS |
|
|
Text Classification (F16)
|
100% |
762
1.10 KIPS |
|
|
Text Classification (I8)
|
96% |
761
1.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
794
14.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2595
47.8 IPS |
|
|
Machine Translation (I8)
|
99% |
744
13.7 IPS |
