iPad Pro (12.9-inch, 6th generation)
Geekbench ML Score
9990
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 19 2024 06:44 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 7.35 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3318
620.8 IPS |
|
|
Image Classification (F16)
|
100% |
10677
2.00 KIPS |
|
|
Image Classification (I8)
|
99% |
11491
2.15 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1440
24.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1870
31.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1880
31.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
23154
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
91469
110.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
96247
116.6 IPS |
|
|
Object Detection (F32)
|
100% |
2842
212.2 IPS |
|
|
Object Detection (F16)
|
100% |
4870
363.5 IPS |
|
|
Object Detection (I8)
|
97% |
2646
197.5 IPS |
|
|
Face Detection (F32)
|
100% |
8893
105.7 IPS |
|
|
Face Detection (F16)
|
97% |
18737
222.8 IPS |
|
|
Face Detection (I8)
|
96% |
19363
230.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
16191
125.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
66602
516.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
70122
543.8 IPS |
|
|
Style Transfer (F32)
|
100% |
40499
53.3 IPS |
|
|
Style Transfer (F16)
|
100% |
144223
189.7 IPS |
|
|
Style Transfer (I8)
|
100% |
147736
194.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7013
250.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34417
1.23 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34980
1.25 KIPS |
|
|
Text Classification (F32)
|
100% |
2033
2.92 KIPS |
|
|
Text Classification (F16)
|
100% |
3331
4.79 KIPS |
|
|
Text Classification (I8)
|
96% |
3388
4.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
773
14.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2706
49.8 IPS |
|
|
Machine Translation (I8)
|
99% |
740
13.6 IPS |
