iPad Pro (12.9-inch, 6th generation)
Geekbench ML Score
5185
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 07:42 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| Model | iPad Pro (12.9-inch, 6th generation) |
| Model ID | iPad14,5 |
| Motherboard | J620AP |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.49 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% |
3352
627.3 IPS |
|
|
Image Classification (F16)
|
100% |
3361
628.9 IPS |
|
|
Image Classification (I8)
|
99% |
3052
571.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1429
23.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1516
25.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1518
25.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
22874
27.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
25208
30.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
24394
29.5 IPS |
|
|
Object Detection (F32)
|
100% |
2803
209.3 IPS |
|
|
Object Detection (F16)
|
100% |
2836
211.7 IPS |
|
|
Object Detection (I8)
|
97% |
2632
196.5 IPS |
|
|
Face Detection (F32)
|
100% |
9289
110.4 IPS |
|
|
Face Detection (F16)
|
98% |
10544
125.4 IPS |
|
|
Face Detection (I8)
|
97% |
10121
120.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
16203
125.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
17448
135.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
16166
125.4 IPS |
|
|
Style Transfer (F32)
|
100% |
39475
51.9 IPS |
|
|
Style Transfer (F16)
|
100% |
42600
56.0 IPS |
|
|
Style Transfer (I8)
|
100% |
42936
56.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9444
337.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8625
308.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9593
342.6 IPS |
|
|
Text Classification (F32)
|
100% |
1133
1.63 KIPS |
|
|
Text Classification (F16)
|
100% |
763
1.10 KIPS |
|
|
Text Classification (I8)
|
96% |
761
1.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
810
14.9 IPS |
|
|
Machine Translation (F16)
|
100% |
821
15.1 IPS |
|
|
Machine Translation (I8)
|
99% |
747
13.8 IPS |
