iPad Pro (11-inch 3rd generation)
Geekbench ML Score
6748
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 01:03 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 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% |
1200
224.6 IPS |
|
|
Image Classification (F16)
|
100% |
6152
1.15 KIPS |
|
|
Image Classification (I8)
|
99% |
6232
1.17 KIPS |
|
|
Image Segmentation (F32)
|
100% |
848
14.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
3939
65.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
3933
65.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
16465
19.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
61422
74.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
62606
75.8 IPS |
|
|
Object Detection (F32)
|
100% |
1462
109.2 IPS |
|
|
Object Detection (F16)
|
100% |
3693
275.7 IPS |
|
|
Object Detection (I8)
|
97% |
1514
113.0 IPS |
|
|
Face Detection (F32)
|
100% |
5910
70.3 IPS |
|
|
Face Detection (F16)
|
97% |
11671
138.8 IPS |
|
|
Face Detection (I8)
|
96% |
11691
139.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
12158
94.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
37843
293.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
38807
300.9 IPS |
|
|
Style Transfer (F32)
|
100% |
27814
36.6 IPS |
|
|
Style Transfer (F16)
|
100% |
112151
147.5 IPS |
|
|
Style Transfer (I8)
|
100% |
118978
156.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5072
181.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17872
638.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17874
638.4 IPS |
|
|
Text Classification (F32)
|
100% |
1167
1.68 KIPS |
|
|
Text Classification (F16)
|
100% |
2205
3.17 KIPS |
|
|
Text Classification (I8)
|
96% |
2217
3.19 KIPS |
|
|
Machine Translation (F32)
|
100% |
531
9.77 IPS |
|
|
Machine Translation (F16)
|
100% |
1712
31.5 IPS |
|
|
Machine Translation (I8)
|
99% |
536
9.87 IPS |
