iPad Pro (11-inch 3rd generation)
Geekbench ML Score
6486
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 17 2024 06:35 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| 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 | 7.37 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1138
212.9 IPS |
|
|
Image Classification (F16)
|
100% |
5937
1.11 KIPS |
|
|
Image Classification (I8)
|
99% |
6143
1.15 KIPS |
|
|
Image Segmentation (F32)
|
100% |
824
13.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1102
18.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1105
18.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
16456
19.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
61363
74.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
62730
76.0 IPS |
|
|
Object Detection (F32)
|
100% |
1434
107.1 IPS |
|
|
Object Detection (F16)
|
100% |
3459
258.2 IPS |
|
|
Object Detection (I8)
|
97% |
1441
107.6 IPS |
|
|
Face Detection (F32)
|
100% |
5917
70.4 IPS |
|
|
Face Detection (F16)
|
97% |
11774
140.0 IPS |
|
|
Face Detection (I8)
|
96% |
11724
139.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
12058
93.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
39407
305.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
40254
312.2 IPS |
|
|
Style Transfer (F32)
|
100% |
27236
35.8 IPS |
|
|
Style Transfer (F16)
|
100% |
113624
149.5 IPS |
|
|
Style Transfer (I8)
|
100% |
116937
153.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4907
175.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23196
828.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
23290
831.8 IPS |
|
|
Text Classification (F32)
|
100% |
2055
2.95 KIPS |
|
|
Text Classification (F16)
|
100% |
3354
4.82 KIPS |
|
|
Text Classification (I8)
|
96% |
3357
4.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
475
8.74 IPS |
|
|
Machine Translation (F16)
|
100% |
1513
27.9 IPS |
|
|
Machine Translation (I8)
|
99% |
487
8.96 IPS |
