iPad Pro (11-inch 3rd generation)
Geekbench ML Score
3378
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 02:37 PM |
| Views | 1 |
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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1891
353.8 IPS |
|
|
Image Classification (F16)
|
100% |
1201
224.8 IPS |
|
|
Image Classification (I8)
|
99% |
1230
230.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
833
13.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
883
14.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
881
14.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
16041
19.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
17896
21.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
17629
21.3 IPS |
|
|
Object Detection (F32)
|
100% |
1386
103.5 IPS |
|
|
Object Detection (F16)
|
100% |
1545
115.3 IPS |
|
|
Object Detection (I8)
|
97% |
1521
113.6 IPS |
|
|
Face Detection (F32)
|
100% |
5918
70.4 IPS |
|
|
Face Detection (F16)
|
98% |
7260
86.3 IPS |
|
|
Face Detection (I8)
|
97% |
7224
85.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
11901
92.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
13588
105.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
12449
96.5 IPS |
|
|
Style Transfer (F32)
|
100% |
27502
36.2 IPS |
|
|
Style Transfer (F16)
|
100% |
30738
40.4 IPS |
|
|
Style Transfer (I8)
|
100% |
31731
41.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4812
171.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5005
178.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5836
208.4 IPS |
|
|
Text Classification (F32)
|
100% |
1173
1.69 KIPS |
|
|
Text Classification (F16)
|
100% |
767
1.10 KIPS |
|
|
Text Classification (I8)
|
96% |
762
1.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
529
9.74 IPS |
|
|
Machine Translation (F16)
|
100% |
535
9.85 IPS |
|
|
Machine Translation (I8)
|
99% |
534
9.83 IPS |
