iPad Pro (11-inch, 4th generation)
Geekbench ML Score
3925
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 09 2024 12:38 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad Pro (11-inch, 4th generation) |
| Model ID | iPad14,3 |
| Motherboard | J617AP |
| 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 | 7.37 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1368
256.0 IPS |
|
|
Image Classification (F16)
|
100% |
2483
464.5 IPS |
|
|
Image Classification (I8)
|
99% |
2502
468.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
864
14.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1145
19.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1167
19.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6582
7.97 IPS |
|
|
Pose Estimation (F16)
|
100% |
14223
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14239
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1445
107.9 IPS |
|
|
Object Detection (F16)
|
100% |
2422
180.8 IPS |
|
|
Object Detection (I8)
|
97% |
1445
107.9 IPS |
|
|
Face Detection (F32)
|
100% |
3090
36.7 IPS |
|
|
Face Detection (F16)
|
97% |
5989
71.2 IPS |
|
|
Face Detection (I8)
|
97% |
5991
71.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5633
43.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
11531
89.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
11579
89.8 IPS |
|
|
Style Transfer (F32)
|
100% |
18459
24.3 IPS |
|
|
Style Transfer (F16)
|
100% |
28488
37.5 IPS |
|
|
Style Transfer (I8)
|
100% |
28066
36.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4177
149.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5062
180.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5094
181.9 IPS |
|
|
Text Classification (F32)
|
100% |
2054
2.95 KIPS |
|
|
Text Classification (F16)
|
100% |
3459
4.97 KIPS |
|
|
Text Classification (I8)
|
96% |
3414
4.91 KIPS |
|
|
Machine Translation (F32)
|
100% |
1390
25.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1620
29.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1367
25.2 IPS |
