iPad Pro (12.9-inch, 6th generation)
Geekbench ML Score
7351
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 05:39 PM |
| Views | 5 |
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% |
3339
624.9 IPS |
|
|
Image Classification (F16)
|
100% |
6441
1.21 KIPS |
|
|
Image Classification (I8)
|
99% |
6737
1.26 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1430
23.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1569
26.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1609
26.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
22647
27.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
81115
98.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
83536
101.2 IPS |
|
|
Object Detection (F32)
|
100% |
2808
209.6 IPS |
|
|
Object Detection (F16)
|
100% |
3727
278.2 IPS |
|
|
Object Detection (I8)
|
97% |
2610
194.9 IPS |
|
|
Face Detection (F32)
|
100% |
9294
110.5 IPS |
|
|
Face Detection (F16)
|
97% |
10650
126.6 IPS |
|
|
Face Detection (I8)
|
96% |
10649
126.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16049
124.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
35895
278.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
36212
280.8 IPS |
|
|
Style Transfer (F32)
|
100% |
39397
51.8 IPS |
|
|
Style Transfer (F16)
|
100% |
124880
164.3 IPS |
|
|
Style Transfer (I8)
|
100% |
131544
173.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9432
336.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18169
648.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18322
654.3 IPS |
|
|
Text Classification (F32)
|
100% |
1126
1.62 KIPS |
|
|
Text Classification (F16)
|
100% |
759
1.09 KIPS |
|
|
Text Classification (I8)
|
96% |
760
1.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
799
14.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2586
47.6 IPS |
|
|
Machine Translation (I8)
|
99% |
744
13.7 IPS |
