iPad Pro (12.9-inch, 6th generation)
Geekbench ML Score
7398
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 02:42 PM |
| Views | 1 |
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% |
3357
628.2 IPS |
|
|
Image Classification (F16)
|
100% |
6450
1.21 KIPS |
|
|
Image Classification (I8)
|
99% |
6750
1.26 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1447
24.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1605
26.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1592
26.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
23512
28.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
80231
97.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
82819
100.3 IPS |
|
|
Object Detection (F32)
|
100% |
2833
211.5 IPS |
|
|
Object Detection (F16)
|
100% |
3776
281.9 IPS |
|
|
Object Detection (I8)
|
97% |
2617
195.3 IPS |
|
|
Face Detection (F32)
|
100% |
9328
110.9 IPS |
|
|
Face Detection (F16)
|
97% |
10606
126.1 IPS |
|
|
Face Detection (I8)
|
96% |
10653
126.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
16344
126.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
38213
296.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
35565
275.8 IPS |
|
|
Style Transfer (F32)
|
100% |
38111
50.1 IPS |
|
|
Style Transfer (F16)
|
100% |
129231
170.0 IPS |
|
|
Style Transfer (I8)
|
100% |
134353
176.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9639
344.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17899
639.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18658
666.4 IPS |
|
|
Text Classification (F32)
|
100% |
1133
1.63 KIPS |
|
|
Text Classification (F16)
|
100% |
758
1.09 KIPS |
|
|
Text Classification (I8)
|
96% |
745
1.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
792
14.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2631
48.4 IPS |
|
|
Machine Translation (I8)
|
99% |
754
13.9 IPS |
