iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
3371
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 08:36 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,8 |
| Motherboard | J522AP |
| 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 | 7.31 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1697
317.5 IPS |
|
|
Image Classification (F16)
|
100% |
1160
217.0 IPS |
|
|
Image Classification (I8)
|
99% |
1240
232.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
852
14.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
848
14.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
880
14.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
16204
19.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
17946
21.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
17609
21.3 IPS |
|
|
Object Detection (F32)
|
100% |
1515
113.1 IPS |
|
|
Object Detection (F16)
|
100% |
1404
104.8 IPS |
|
|
Object Detection (I8)
|
97% |
1548
115.6 IPS |
|
|
Face Detection (F32)
|
100% |
5925
70.4 IPS |
|
|
Face Detection (F16)
|
98% |
7129
84.8 IPS |
|
|
Face Detection (I8)
|
97% |
7088
84.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
11920
92.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
13514
104.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
12581
97.6 IPS |
|
|
Style Transfer (F32)
|
100% |
27380
36.0 IPS |
|
|
Style Transfer (F16)
|
100% |
32346
42.5 IPS |
|
|
Style Transfer (I8)
|
100% |
31832
41.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4989
178.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5378
192.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5456
194.9 IPS |
|
|
Text Classification (F32)
|
100% |
1175
1.69 KIPS |
|
|
Text Classification (F16)
|
100% |
763
1.10 KIPS |
|
|
Text Classification (I8)
|
96% |
764
1.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
529
9.74 IPS |
|
|
Machine Translation (F16)
|
100% |
535
9.84 IPS |
|
|
Machine Translation (I8)
|
99% |
536
9.86 IPS |
