iPad Pro (12.9-inch, 6th generation)
Geekbench ML Score
8264
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 22 2024 04:16 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.4.1 |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3498
654.5 IPS |
|
|
Image Classification (F16)
|
100% |
7652
1.43 KIPS |
|
|
Image Classification (I8)
|
99% |
7520
1.41 KIPS |
|
|
Image Segmentation (F32)
|
100% |
934
15.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
3836
64.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
3848
64.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
23459
28.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
90240
109.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
90723
109.9 IPS |
|
|
Object Detection (F32)
|
100% |
3062
228.6 IPS |
|
|
Object Detection (F16)
|
100% |
4065
303.5 IPS |
|
|
Object Detection (I8)
|
97% |
3036
226.7 IPS |
|
|
Face Detection (F32)
|
100% |
9843
117.0 IPS |
|
|
Face Detection (F16)
|
97% |
13267
157.8 IPS |
|
|
Face Detection (I8)
|
96% |
13470
160.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
16089
124.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
29978
232.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
28645
222.1 IPS |
|
|
Style Transfer (F32)
|
100% |
40316
53.0 IPS |
|
|
Style Transfer (F16)
|
100% |
103950
136.7 IPS |
|
|
Style Transfer (I8)
|
100% |
105840
139.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7946
283.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15056
537.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
13827
493.8 IPS |
|
|
Text Classification (F32)
|
100% |
917
1.32 KIPS |
|
|
Text Classification (F16)
|
100% |
1442
2.07 KIPS |
|
|
Text Classification (I8)
|
96% |
1523
2.19 KIPS |
|
|
Machine Translation (F32)
|
100% |
1339
24.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2421
44.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1403
25.8 IPS |
