iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
3350
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 29 2024 08:13 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,10 |
| Motherboard | J523AP |
| 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% |
1184
221.6 IPS |
|
|
Image Classification (F16)
|
100% |
1340
250.8 IPS |
|
|
Image Classification (I8)
|
99% |
1424
266.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
848
14.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
861
14.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
835
14.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
16583
20.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
17967
21.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
17634
21.4 IPS |
|
|
Object Detection (F32)
|
100% |
1436
107.2 IPS |
|
|
Object Detection (F16)
|
100% |
1472
109.9 IPS |
|
|
Object Detection (I8)
|
97% |
1499
111.9 IPS |
|
|
Face Detection (F32)
|
100% |
5862
69.7 IPS |
|
|
Face Detection (F16)
|
98% |
7122
84.7 IPS |
|
|
Face Detection (I8)
|
97% |
7099
84.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
12150
94.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
14345
111.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
12580
97.6 IPS |
|
|
Style Transfer (F32)
|
100% |
27568
36.3 IPS |
|
|
Style Transfer (F16)
|
100% |
31003
40.8 IPS |
|
|
Style Transfer (I8)
|
100% |
31958
42.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4655
166.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5356
191.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5160
184.3 IPS |
|
|
Text Classification (F32)
|
100% |
1174
1.69 KIPS |
|
|
Text Classification (F16)
|
100% |
765
1.10 KIPS |
|
|
Text Classification (I8)
|
96% |
765
1.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
534
9.82 IPS |
|
|
Machine Translation (F16)
|
100% |
541
9.95 IPS |
|
|
Machine Translation (I8)
|
99% |
546
10.0 IPS |
