iPad Pro (12.9-inch, 6th generation)
Geekbench ML Score
5108
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 12:58 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.5.1 |
| 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 | 7.33 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3488
652.8 IPS |
|
|
Image Classification (F16)
|
100% |
3488
652.7 IPS |
|
|
Image Classification (I8)
|
99% |
3274
612.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
855
14.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
804
13.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
806
13.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
23664
28.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
25206
30.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
25075
30.4 IPS |
|
|
Object Detection (F32)
|
100% |
3059
228.4 IPS |
|
|
Object Detection (F16)
|
100% |
3070
229.2 IPS |
|
|
Object Detection (I8)
|
97% |
2231
166.6 IPS |
|
|
Face Detection (F32)
|
100% |
9799
116.5 IPS |
|
|
Face Detection (F16)
|
97% |
11217
133.4 IPS |
|
|
Face Detection (I8)
|
96% |
8436
100.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
16245
126.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
17372
134.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
17061
132.3 IPS |
|
|
Style Transfer (F32)
|
100% |
40582
53.4 IPS |
|
|
Style Transfer (F16)
|
100% |
47005
61.8 IPS |
|
|
Style Transfer (I8)
|
100% |
46897
61.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9197
328.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7087
253.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7028
251.0 IPS |
|
|
Text Classification (F32)
|
100% |
904
1.30 KIPS |
|
|
Text Classification (F16)
|
100% |
969
1.39 KIPS |
|
|
Text Classification (I8)
|
96% |
647
930.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1364
25.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1336
24.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1360
25.0 IPS |
