iPad Pro (12.9-inch, 6th generation)
Geekbench ML Score
7363
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 05:21 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
3340
625.0 IPS |
|
|
Image Classification (F16)
|
100% |
6478
1.21 KIPS |
|
|
Image Classification (I8)
|
99% |
6857
1.28 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1441
24.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1593
26.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1592
26.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
22566
27.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
81663
98.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
84991
102.9 IPS |
|
|
Object Detection (F32)
|
100% |
2817
210.3 IPS |
|
|
Object Detection (F16)
|
100% |
3800
283.7 IPS |
|
|
Object Detection (I8)
|
97% |
2628
196.2 IPS |
|
|
Face Detection (F32)
|
100% |
9255
110.0 IPS |
|
|
Face Detection (F16)
|
97% |
10673
126.9 IPS |
|
|
Face Detection (I8)
|
96% |
10636
126.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
16125
125.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
36403
282.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
36106
280.0 IPS |
|
|
Style Transfer (F32)
|
100% |
39516
52.0 IPS |
|
|
Style Transfer (F16)
|
100% |
133391
175.5 IPS |
|
|
Style Transfer (I8)
|
100% |
129004
169.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9519
340.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17893
639.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18277
652.7 IPS |
|
|
Text Classification (F32)
|
100% |
1111
1.60 KIPS |
|
|
Text Classification (F16)
|
100% |
734
1.05 KIPS |
|
|
Text Classification (I8)
|
96% |
732
1.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
787
14.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2599
47.8 IPS |
|
|
Machine Translation (I8)
|
99% |
749
13.8 IPS |
