iPad Pro (11-inch, 4th generation)
Geekbench ML Score
7378
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 22 2024 04:26 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
3381
632.7 IPS |
|
|
Image Classification (F16)
|
100% |
6443
1.21 KIPS |
|
|
Image Classification (I8)
|
99% |
7150
1.34 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1453
24.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1562
26.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1576
26.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
23488
28.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
81848
99.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
75797
91.8 IPS |
|
|
Object Detection (F32)
|
100% |
2848
212.6 IPS |
|
|
Object Detection (F16)
|
100% |
3734
278.8 IPS |
|
|
Object Detection (I8)
|
97% |
2594
193.7 IPS |
|
|
Face Detection (F32)
|
100% |
9310
110.7 IPS |
|
|
Face Detection (F16)
|
97% |
10617
126.2 IPS |
|
|
Face Detection (I8)
|
96% |
10664
126.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
16391
127.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
36115
280.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
42168
327.0 IPS |
|
|
Style Transfer (F32)
|
100% |
40336
53.1 IPS |
|
|
Style Transfer (F16)
|
100% |
131207
172.6 IPS |
|
|
Style Transfer (I8)
|
100% |
133636
175.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8045
287.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17945
640.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18791
671.1 IPS |
|
|
Text Classification (F32)
|
100% |
1106
1.59 KIPS |
|
|
Text Classification (F16)
|
100% |
743
1.07 KIPS |
|
|
Text Classification (I8)
|
96% |
744
1.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
801
14.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2629
48.4 IPS |
|
|
Machine Translation (I8)
|
99% |
752
13.8 IPS |
