iPad Pro (12.9-inch, 6th generation)
Geekbench ML Score
5903
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 19 2024 06:42 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 7.35 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3282
614.2 IPS |
|
|
Image Classification (F16)
|
100% |
3351
627.1 IPS |
|
|
Image Classification (I8)
|
99% |
2997
560.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1433
23.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1555
26.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1533
25.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
23090
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
25014
30.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
24340
29.5 IPS |
|
|
Object Detection (F32)
|
100% |
2825
210.9 IPS |
|
|
Object Detection (F16)
|
100% |
2882
215.2 IPS |
|
|
Object Detection (I8)
|
97% |
2648
197.7 IPS |
|
|
Face Detection (F32)
|
100% |
8929
106.2 IPS |
|
|
Face Detection (F16)
|
98% |
10060
119.6 IPS |
|
|
Face Detection (I8)
|
97% |
9810
116.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16066
124.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
17349
134.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
15783
122.4 IPS |
|
|
Style Transfer (F32)
|
100% |
40654
53.5 IPS |
|
|
Style Transfer (F16)
|
100% |
42609
56.0 IPS |
|
|
Style Transfer (I8)
|
100% |
46022
60.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9707
346.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10109
361.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9469
338.2 IPS |
|
|
Text Classification (F32)
|
100% |
2060
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3355
4.82 KIPS |
|
|
Text Classification (I8)
|
96% |
3404
4.89 KIPS |
|
|
Machine Translation (F32)
|
100% |
863
15.9 IPS |
|
|
Machine Translation (F16)
|
100% |
873
16.1 IPS |
|
|
Machine Translation (I8)
|
99% |
784
14.4 IPS |
