iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
3395
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 06:54 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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% |
1797
336.3 IPS |
|
|
Image Classification (F16)
|
100% |
1190
222.7 IPS |
|
|
Image Classification (I8)
|
99% |
1376
257.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
826
13.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
901
15.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
861
14.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
15760
19.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
17952
21.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
17591
21.3 IPS |
|
|
Object Detection (F32)
|
100% |
1505
112.4 IPS |
|
|
Object Detection (F16)
|
100% |
1538
114.8 IPS |
|
|
Object Detection (I8)
|
97% |
1465
109.4 IPS |
|
|
Face Detection (F32)
|
100% |
6000
71.3 IPS |
|
|
Face Detection (F16)
|
98% |
7046
83.8 IPS |
|
|
Face Detection (I8)
|
97% |
7026
83.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
12074
93.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
13547
105.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
12612
97.8 IPS |
|
|
Style Transfer (F32)
|
100% |
27517
36.2 IPS |
|
|
Style Transfer (F16)
|
100% |
32321
42.5 IPS |
|
|
Style Transfer (I8)
|
100% |
31747
41.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4850
173.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5138
183.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5790
206.8 IPS |
|
|
Text Classification (F32)
|
100% |
1174
1.69 KIPS |
|
|
Text Classification (F16)
|
100% |
764
1.10 KIPS |
|
|
Text Classification (I8)
|
96% |
765
1.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
534
9.83 IPS |
|
|
Machine Translation (F16)
|
100% |
537
9.88 IPS |
|
|
Machine Translation (I8)
|
99% |
541
9.95 IPS |
