iPad Pro (11-inch, 4th generation)
Geekbench ML Score
7372
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 09 2024 09:58 AM |
| Views | 1 |
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% |
3371
630.9 IPS |
|
|
Image Classification (F16)
|
100% |
6486
1.21 KIPS |
|
|
Image Classification (I8)
|
99% |
6910
1.29 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1440
24.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1578
26.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1600
26.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
23471
28.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
82103
99.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
84687
102.6 IPS |
|
|
Object Detection (F32)
|
100% |
2829
211.2 IPS |
|
|
Object Detection (F16)
|
100% |
3783
282.4 IPS |
|
|
Object Detection (I8)
|
97% |
2593
193.6 IPS |
|
|
Face Detection (F32)
|
100% |
9356
111.2 IPS |
|
|
Face Detection (F16)
|
97% |
10560
125.6 IPS |
|
|
Face Detection (I8)
|
96% |
10651
126.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16433
127.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
36796
285.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
38597
299.3 IPS |
|
|
Style Transfer (F32)
|
100% |
37734
49.6 IPS |
|
|
Style Transfer (F16)
|
100% |
131078
172.4 IPS |
|
|
Style Transfer (I8)
|
100% |
132161
173.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8043
287.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18266
652.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18423
657.9 IPS |
|
|
Text Classification (F32)
|
100% |
1108
1.59 KIPS |
|
|
Text Classification (F16)
|
100% |
745
1.07 KIPS |
|
|
Text Classification (I8)
|
96% |
741
1.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
802
14.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2644
48.6 IPS |
|
|
Machine Translation (I8)
|
99% |
763
14.0 IPS |
