iPad Pro (11-inch, 4th generation)
Geekbench ML Score
7414
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 06:11 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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 | 15.33 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3546
663.6 IPS |
|
|
Image Classification (F16)
|
100% |
6554
1.23 KIPS |
|
|
Image Classification (I8)
|
99% |
6776
1.27 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1430
23.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1578
26.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1589
26.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
22778
27.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
81405
98.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
84324
102.1 IPS |
|
|
Object Detection (F32)
|
100% |
2813
210.0 IPS |
|
|
Object Detection (F16)
|
100% |
3869
288.8 IPS |
|
|
Object Detection (I8)
|
97% |
2613
195.1 IPS |
|
|
Face Detection (F32)
|
100% |
9294
110.5 IPS |
|
|
Face Detection (F16)
|
97% |
10695
127.2 IPS |
|
|
Face Detection (I8)
|
96% |
10630
126.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
16070
124.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
39411
305.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
34095
264.4 IPS |
|
|
Style Transfer (F32)
|
100% |
39657
52.2 IPS |
|
|
Style Transfer (F16)
|
100% |
131966
173.6 IPS |
|
|
Style Transfer (I8)
|
100% |
132867
174.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9413
336.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17733
633.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
19181
685.0 IPS |
|
|
Text Classification (F32)
|
100% |
1102
1.58 KIPS |
|
|
Text Classification (F16)
|
100% |
734
1.05 KIPS |
|
|
Text Classification (I8)
|
96% |
746
1.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
818
15.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2621
48.2 IPS |
|
|
Machine Translation (I8)
|
99% |
768
14.1 IPS |
