iPad Pro (11-inch 3rd generation)
Geekbench ML Score
6798
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 02 2024 07:02 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 7.37 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1835
343.3 IPS |
|
|
Image Classification (F16)
|
100% |
5684
1.06 KIPS |
|
|
Image Classification (I8)
|
99% |
6338
1.19 KIPS |
|
|
Image Segmentation (F32)
|
100% |
804
13.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1095
18.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1092
18.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
16388
19.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
62975
76.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
64793
78.5 IPS |
|
|
Object Detection (F32)
|
100% |
1527
114.0 IPS |
|
|
Object Detection (F16)
|
100% |
4046
302.1 IPS |
|
|
Object Detection (I8)
|
97% |
1913
142.9 IPS |
|
|
Face Detection (F32)
|
100% |
6444
76.6 IPS |
|
|
Face Detection (F16)
|
97% |
11809
140.4 IPS |
|
|
Face Detection (I8)
|
96% |
11821
140.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
12114
93.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
42120
326.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
43909
340.5 IPS |
|
|
Style Transfer (F32)
|
100% |
24304
32.0 IPS |
|
|
Style Transfer (F16)
|
100% |
112600
148.1 IPS |
|
|
Style Transfer (I8)
|
100% |
118817
156.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4377
156.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23475
838.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
23865
852.3 IPS |
|
|
Text Classification (F32)
|
100% |
1993
2.86 KIPS |
|
|
Text Classification (F16)
|
100% |
3452
4.96 KIPS |
|
|
Text Classification (I8)
|
96% |
3248
4.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
628
11.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1618
29.8 IPS |
|
|
Machine Translation (I8)
|
99% |
511
9.41 IPS |
