iPad Pro (11-inch 3rd generation)
Geekbench ML Score
6781
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 26 2024 02:47 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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 | 7.33 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1179
220.7 IPS |
|
|
Image Classification (F16)
|
100% |
6156
1.15 KIPS |
|
|
Image Classification (I8)
|
99% |
6284
1.18 KIPS |
|
|
Image Segmentation (F32)
|
100% |
820
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
3992
66.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
3979
66.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
16422
19.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
60687
73.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
62889
76.2 IPS |
|
|
Object Detection (F32)
|
100% |
1509
112.7 IPS |
|
|
Object Detection (F16)
|
100% |
3838
286.6 IPS |
|
|
Object Detection (I8)
|
97% |
1594
119.0 IPS |
|
|
Face Detection (F32)
|
100% |
5808
69.1 IPS |
|
|
Face Detection (F16)
|
97% |
11662
138.7 IPS |
|
|
Face Detection (I8)
|
96% |
11654
138.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
12108
93.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
36417
282.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
40007
310.3 IPS |
|
|
Style Transfer (F32)
|
100% |
26275
34.6 IPS |
|
|
Style Transfer (F16)
|
100% |
113553
149.4 IPS |
|
|
Style Transfer (I8)
|
100% |
116992
153.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5072
181.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17846
637.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18119
647.1 IPS |
|
|
Text Classification (F32)
|
100% |
1175
1.69 KIPS |
|
|
Text Classification (F16)
|
100% |
2319
3.33 KIPS |
|
|
Text Classification (I8)
|
96% |
2321
3.34 KIPS |
|
|
Machine Translation (F32)
|
100% |
538
9.89 IPS |
|
|
Machine Translation (F16)
|
100% |
1710
31.5 IPS |
|
|
Machine Translation (I8)
|
99% |
547
10.1 IPS |
