iPad Pro (11-inch, 4th generation)
Geekbench ML Score
10079
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 20 2024 07:12 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3374
631.3 IPS |
|
|
Image Classification (F16)
|
100% |
11083
2.07 KIPS |
|
|
Image Classification (I8)
|
99% |
12014
2.25 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1453
24.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1859
31.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1853
31.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
23520
28.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
94125
114.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
96242
116.5 IPS |
|
|
Object Detection (F32)
|
100% |
2880
215.0 IPS |
|
|
Object Detection (F16)
|
100% |
5038
376.2 IPS |
|
|
Object Detection (I8)
|
97% |
2656
198.3 IPS |
|
|
Face Detection (F32)
|
100% |
8852
105.2 IPS |
|
|
Face Detection (F16)
|
97% |
19038
226.4 IPS |
|
|
Face Detection (I8)
|
96% |
19353
230.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
16185
125.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
54033
419.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
53037
411.3 IPS |
|
|
Style Transfer (F32)
|
100% |
41539
54.6 IPS |
|
|
Style Transfer (F16)
|
100% |
149492
196.6 IPS |
|
|
Style Transfer (I8)
|
100% |
148915
195.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9723
347.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34525
1.23 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
33387
1.19 KIPS |
|
|
Text Classification (F32)
|
100% |
2030
2.92 KIPS |
|
|
Text Classification (F16)
|
100% |
3348
4.81 KIPS |
|
|
Text Classification (I8)
|
96% |
3411
4.90 KIPS |
|
|
Machine Translation (F32)
|
100% |
864
15.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2749
50.6 IPS |
|
|
Machine Translation (I8)
|
99% |
796
14.6 IPS |
