iPad Pro (12.9-inch, 6th generation)
Geekbench ML Score
7532
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 09 2024 08:15 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2 |
| 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 | 7.33 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3396
635.5 IPS |
|
|
Image Classification (F16)
|
100% |
6623
1.24 KIPS |
|
|
Image Classification (I8)
|
99% |
6954
1.30 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1433
23.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1601
26.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1582
26.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
22637
27.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
81990
99.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
83872
101.6 IPS |
|
|
Object Detection (F32)
|
100% |
2787
208.1 IPS |
|
|
Object Detection (F16)
|
100% |
3839
286.6 IPS |
|
|
Object Detection (I8)
|
97% |
2575
192.2 IPS |
|
|
Face Detection (F32)
|
100% |
9426
112.1 IPS |
|
|
Face Detection (F16)
|
97% |
14138
168.1 IPS |
|
|
Face Detection (I8)
|
96% |
14248
169.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
16036
124.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
38295
297.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
39411
305.6 IPS |
|
|
Style Transfer (F32)
|
100% |
39186
51.5 IPS |
|
|
Style Transfer (F16)
|
100% |
132745
174.6 IPS |
|
|
Style Transfer (I8)
|
100% |
133956
176.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9385
335.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17371
620.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18130
647.5 IPS |
|
|
Text Classification (F32)
|
100% |
1132
1.63 KIPS |
|
|
Text Classification (F16)
|
100% |
759
1.09 KIPS |
|
|
Text Classification (I8)
|
96% |
756
1.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
785
14.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2438
44.9 IPS |
|
|
Machine Translation (I8)
|
99% |
710
13.1 IPS |
