iPad Pro (11-inch 3rd generation)
Geekbench ML Score
3350
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 10:29 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1190
222.6 IPS |
|
|
Image Classification (F16)
|
100% |
1184
221.5 IPS |
|
|
Image Classification (I8)
|
99% |
1415
264.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
824
13.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
830
13.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
880
14.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
16511
20.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
17992
21.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
17771
21.5 IPS |
|
|
Object Detection (F32)
|
100% |
1539
114.9 IPS |
|
|
Object Detection (F16)
|
100% |
1518
113.3 IPS |
|
|
Object Detection (I8)
|
97% |
1519
113.4 IPS |
|
|
Face Detection (F32)
|
100% |
5934
70.6 IPS |
|
|
Face Detection (F16)
|
98% |
7160
85.1 IPS |
|
|
Face Detection (I8)
|
97% |
7130
84.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
12154
94.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
13715
106.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
12624
97.9 IPS |
|
|
Style Transfer (F32)
|
100% |
26630
35.0 IPS |
|
|
Style Transfer (F16)
|
100% |
32442
42.7 IPS |
|
|
Style Transfer (I8)
|
100% |
32073
42.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5121
182.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5339
190.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4915
175.5 IPS |
|
|
Text Classification (F32)
|
100% |
1152
1.66 KIPS |
|
|
Text Classification (F16)
|
100% |
763
1.10 KIPS |
|
|
Text Classification (I8)
|
96% |
763
1.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
532
9.80 IPS |
|
|
Machine Translation (F16)
|
100% |
543
9.98 IPS |
|
|
Machine Translation (I8)
|
99% |
547
10.1 IPS |
