iPad Pro (11-inch 3rd generation)
Geekbench ML Score
7072
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 06:20 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,6 |
| Motherboard | J518AP |
| 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% |
1569
293.6 IPS |
|
|
Image Classification (F16)
|
100% |
5937
1.11 KIPS |
|
|
Image Classification (I8)
|
99% |
6295
1.18 KIPS |
|
|
Image Segmentation (F32)
|
100% |
821
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
3951
66.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
3942
65.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
15067
18.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
61848
74.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
64469
78.1 IPS |
|
|
Object Detection (F32)
|
100% |
1505
112.4 IPS |
|
|
Object Detection (F16)
|
100% |
4355
325.1 IPS |
|
|
Object Detection (I8)
|
97% |
1856
138.6 IPS |
|
|
Face Detection (F32)
|
100% |
6612
78.6 IPS |
|
|
Face Detection (F16)
|
97% |
11813
140.5 IPS |
|
|
Face Detection (I8)
|
96% |
11578
137.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
12818
99.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
44638
346.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
43089
334.2 IPS |
|
|
Style Transfer (F32)
|
100% |
27284
35.9 IPS |
|
|
Style Transfer (F16)
|
100% |
112901
148.5 IPS |
|
|
Style Transfer (I8)
|
100% |
119512
157.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4796
171.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18024
643.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17691
631.8 IPS |
|
|
Text Classification (F32)
|
100% |
1114
1.60 KIPS |
|
|
Text Classification (F16)
|
100% |
2516
3.62 KIPS |
|
|
Text Classification (I8)
|
96% |
2442
3.51 KIPS |
|
|
Machine Translation (F32)
|
100% |
567
10.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1913
35.2 IPS |
|
|
Machine Translation (I8)
|
99% |
602
11.1 IPS |
