iPad Pro (11-inch, 4th generation)
Geekbench ML Score
8233
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 13 2025 01:24 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.2 |
| 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 | 7.35 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3491
653.4 IPS |
|
|
Image Classification (F16)
|
100% |
7558
1.41 KIPS |
|
|
Image Classification (I8)
|
99% |
7545
1.41 KIPS |
|
|
Image Segmentation (F32)
|
100% |
904
15.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
3771
63.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
3669
61.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
23409
28.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
89730
108.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
90240
109.3 IPS |
|
|
Object Detection (F32)
|
100% |
3015
225.1 IPS |
|
|
Object Detection (F16)
|
100% |
4009
299.3 IPS |
|
|
Object Detection (I8)
|
97% |
3031
226.3 IPS |
|
|
Face Detection (F32)
|
100% |
9818
116.7 IPS |
|
|
Face Detection (F16)
|
97% |
13415
159.5 IPS |
|
|
Face Detection (I8)
|
96% |
13356
158.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
16120
125.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
29779
230.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
28473
220.8 IPS |
|
|
Style Transfer (F32)
|
100% |
39971
52.6 IPS |
|
|
Style Transfer (F16)
|
100% |
104466
137.4 IPS |
|
|
Style Transfer (I8)
|
100% |
104398
137.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9294
331.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14730
526.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
14479
517.1 IPS |
|
|
Text Classification (F32)
|
100% |
934
1.34 KIPS |
|
|
Text Classification (F16)
|
100% |
1388
1.99 KIPS |
|
|
Text Classification (I8)
|
96% |
1457
2.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
1352
24.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2362
43.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1354
24.9 IPS |
