iPad Pro (12.9-inch, 6th generation)
Geekbench ML Score
3910
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 19 2024 06:49 AM |
| Views | 4 |
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% |
1366
255.7 IPS |
|
|
Image Classification (F16)
|
100% |
2489
465.7 IPS |
|
|
Image Classification (I8)
|
99% |
2499
467.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
869
14.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1111
18.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1109
18.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6629
8.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
14174
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14301
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1443
107.7 IPS |
|
|
Object Detection (F16)
|
100% |
2453
183.1 IPS |
|
|
Object Detection (I8)
|
97% |
1444
107.8 IPS |
|
|
Face Detection (F32)
|
100% |
3098
36.8 IPS |
|
|
Face Detection (F16)
|
97% |
5958
70.8 IPS |
|
|
Face Detection (I8)
|
97% |
5959
70.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5651
43.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
11659
90.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
11569
89.7 IPS |
|
|
Style Transfer (F32)
|
100% |
18494
24.3 IPS |
|
|
Style Transfer (F16)
|
100% |
27913
36.7 IPS |
|
|
Style Transfer (I8)
|
100% |
28004
36.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4202
150.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5060
180.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4984
178.0 IPS |
|
|
Text Classification (F32)
|
100% |
2094
3.01 KIPS |
|
|
Text Classification (F16)
|
100% |
3388
4.87 KIPS |
|
|
Text Classification (I8)
|
96% |
3379
4.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
1369
25.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1624
29.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1371
25.2 IPS |
