iPad Pro (11-inch 3rd generation)
Geekbench ML Score
6844
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 02 2024 07:01 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% |
1234
230.9 IPS |
|
|
Image Classification (F16)
|
100% |
6011
1.12 KIPS |
|
|
Image Classification (I8)
|
99% |
6315
1.18 KIPS |
|
|
Image Segmentation (F32)
|
100% |
805
13.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1104
18.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1103
18.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
16109
19.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
63153
76.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
63233
76.6 IPS |
|
|
Object Detection (F32)
|
100% |
1542
115.1 IPS |
|
|
Object Detection (F16)
|
100% |
3925
293.0 IPS |
|
|
Object Detection (I8)
|
97% |
1489
111.2 IPS |
|
|
Face Detection (F32)
|
100% |
6496
77.2 IPS |
|
|
Face Detection (F16)
|
97% |
11751
139.7 IPS |
|
|
Face Detection (I8)
|
96% |
11853
140.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
12697
98.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
39972
310.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
44489
345.0 IPS |
|
|
Style Transfer (F32)
|
100% |
29045
38.2 IPS |
|
|
Style Transfer (F16)
|
100% |
116165
152.8 IPS |
|
|
Style Transfer (I8)
|
100% |
121141
159.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6876
245.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22893
817.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
23326
833.0 IPS |
|
|
Text Classification (F32)
|
100% |
2116
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3258
4.68 KIPS |
|
|
Text Classification (I8)
|
96% |
3532
5.08 KIPS |
|
|
Machine Translation (F32)
|
100% |
512
9.42 IPS |
|
|
Machine Translation (F16)
|
100% |
1812
33.3 IPS |
|
|
Machine Translation (I8)
|
99% |
624
11.5 IPS |
