iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
3814
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | Stephen_L |
| Upload Date | August 26 2024 11:35 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.35 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1816
339.9 IPS |
|
|
Image Classification (F16)
|
100% |
1159
216.9 IPS |
|
|
Image Classification (I8)
|
99% |
1270
237.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
806
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
885
14.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
874
14.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
16277
19.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
17757
21.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
17515
21.2 IPS |
|
|
Object Detection (F32)
|
100% |
1404
104.8 IPS |
|
|
Object Detection (F16)
|
100% |
1378
102.8 IPS |
|
|
Object Detection (I8)
|
97% |
1419
106.0 IPS |
|
|
Face Detection (F32)
|
100% |
5906
70.2 IPS |
|
|
Face Detection (F16)
|
98% |
7213
85.8 IPS |
|
|
Face Detection (I8)
|
97% |
7332
87.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
11968
92.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
13506
104.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
12374
96.0 IPS |
|
|
Style Transfer (F32)
|
100% |
28228
37.1 IPS |
|
|
Style Transfer (F16)
|
100% |
32610
42.9 IPS |
|
|
Style Transfer (I8)
|
100% |
34468
45.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5033
179.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5395
192.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6417
229.2 IPS |
|
|
Text Classification (F32)
|
100% |
2111
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3695
5.31 KIPS |
|
|
Text Classification (I8)
|
96% |
3640
5.23 KIPS |
|
|
Machine Translation (F32)
|
100% |
494
9.08 IPS |
|
|
Machine Translation (F16)
|
100% |
487
8.96 IPS |
|
|
Machine Translation (I8)
|
99% |
506
9.32 IPS |
