iPad Pro (12.9-inch, 6th generation)
Geekbench ML Score
7393
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 06 2024 07:13 PM |
| Views | 114 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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% |
3383
633.0 IPS |
|
|
Image Classification (F16)
|
100% |
6492
1.21 KIPS |
|
|
Image Classification (I8)
|
99% |
6919
1.29 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1451
24.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1574
26.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1572
26.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
23480
28.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
82706
100.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
85020
103.0 IPS |
|
|
Object Detection (F32)
|
100% |
2843
212.3 IPS |
|
|
Object Detection (F16)
|
100% |
3846
287.2 IPS |
|
|
Object Detection (I8)
|
97% |
2625
196.0 IPS |
|
|
Face Detection (F32)
|
100% |
9322
110.8 IPS |
|
|
Face Detection (F16)
|
97% |
10581
125.8 IPS |
|
|
Face Detection (I8)
|
96% |
10621
126.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
16356
126.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
38742
300.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
34755
269.5 IPS |
|
|
Style Transfer (F32)
|
100% |
37311
49.1 IPS |
|
|
Style Transfer (F16)
|
100% |
132765
174.6 IPS |
|
|
Style Transfer (I8)
|
100% |
133232
175.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8521
304.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18536
662.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18324
654.4 IPS |
|
|
Text Classification (F32)
|
100% |
1128
1.62 KIPS |
|
|
Text Classification (F16)
|
100% |
759
1.09 KIPS |
|
|
Text Classification (I8)
|
96% |
761
1.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
788
14.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2643
48.6 IPS |
|
|
Machine Translation (I8)
|
99% |
752
13.8 IPS |
