iPad Pro (11-inch, 4th generation)
Geekbench ML Score
7341
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 12:00 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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 | 7.33 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3375
631.5 IPS |
|
|
Image Classification (F16)
|
100% |
6442
1.21 KIPS |
|
|
Image Classification (I8)
|
99% |
7059
1.32 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1427
23.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1586
26.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1599
26.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
23512
28.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
82633
100.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
84422
102.2 IPS |
|
|
Object Detection (F32)
|
100% |
2839
211.9 IPS |
|
|
Object Detection (F16)
|
100% |
3767
281.2 IPS |
|
|
Object Detection (I8)
|
97% |
2591
193.5 IPS |
|
|
Face Detection (F32)
|
100% |
9333
111.0 IPS |
|
|
Face Detection (F16)
|
97% |
10633
126.4 IPS |
|
|
Face Detection (I8)
|
96% |
10629
126.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
16433
127.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
37485
290.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
36201
280.7 IPS |
|
|
Style Transfer (F32)
|
100% |
37339
49.1 IPS |
|
|
Style Transfer (F16)
|
100% |
130807
172.1 IPS |
|
|
Style Transfer (I8)
|
100% |
130058
171.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7694
274.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17997
642.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18403
657.2 IPS |
|
|
Text Classification (F32)
|
100% |
1100
1.58 KIPS |
|
|
Text Classification (F16)
|
100% |
749
1.08 KIPS |
|
|
Text Classification (I8)
|
96% |
743
1.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
805
14.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2633
48.5 IPS |
|
|
Machine Translation (I8)
|
99% |
756
13.9 IPS |
