iPad Pro (11-inch, 4th generation)
Geekbench ML Score
7453
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 06 2024 09:12 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.1 |
| Model | iPad Pro (11-inch, 4th generation) |
| Model ID | iPad14,3 |
| Motherboard | J617AP |
| 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 | 7.34 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3367
630.1 IPS |
|
|
Image Classification (F16)
|
100% |
6589
1.23 KIPS |
|
|
Image Classification (I8)
|
99% |
7105
1.33 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1427
23.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1590
26.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1605
26.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
23475
28.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
82752
100.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
85019
103.0 IPS |
|
|
Object Detection (F32)
|
100% |
2803
209.3 IPS |
|
|
Object Detection (F16)
|
100% |
4634
346.0 IPS |
|
|
Object Detection (I8)
|
97% |
2502
186.8 IPS |
|
|
Face Detection (F32)
|
100% |
9455
112.4 IPS |
|
|
Face Detection (F16)
|
97% |
14285
169.9 IPS |
|
|
Face Detection (I8)
|
96% |
13988
166.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
16344
126.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
37189
288.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
49975
387.6 IPS |
|
|
Style Transfer (F32)
|
100% |
37821
49.7 IPS |
|
|
Style Transfer (F16)
|
100% |
115179
151.5 IPS |
|
|
Style Transfer (I8)
|
100% |
116355
153.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8726
311.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17561
627.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
15184
542.3 IPS |
|
|
Text Classification (F32)
|
100% |
1109
1.59 KIPS |
|
|
Text Classification (F16)
|
100% |
724
1.04 KIPS |
|
|
Text Classification (I8)
|
96% |
727
1.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
754
13.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2453
45.1 IPS |
|
|
Machine Translation (I8)
|
99% |
658
12.1 IPS |
