iPad Pro (12.9-inch, 6th generation)
Geekbench ML Score
3904
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 19 2024 06:46 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1361
254.6 IPS |
|
|
Image Classification (F16)
|
100% |
2475
463.1 IPS |
|
|
Image Classification (I8)
|
99% |
2504
468.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
871
14.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1134
18.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1126
18.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6640
8.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
14294
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14250
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1444
107.8 IPS |
|
|
Object Detection (F16)
|
100% |
2403
179.4 IPS |
|
|
Object Detection (I8)
|
97% |
1440
107.5 IPS |
|
|
Face Detection (F32)
|
100% |
3088
36.7 IPS |
|
|
Face Detection (F16)
|
97% |
5972
71.0 IPS |
|
|
Face Detection (I8)
|
97% |
5974
71.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5639
43.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
11531
89.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
11482
89.0 IPS |
|
|
Style Transfer (F32)
|
100% |
18422
24.2 IPS |
|
|
Style Transfer (F16)
|
100% |
27792
36.6 IPS |
|
|
Style Transfer (I8)
|
100% |
27857
36.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4193
149.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4924
175.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4929
176.0 IPS |
|
|
Text Classification (F32)
|
100% |
2059
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3398
4.88 KIPS |
|
|
Text Classification (I8)
|
96% |
3422
4.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
1375
25.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1633
30.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1368
25.2 IPS |
