iPad Pro (11-inch, 4th generation)
Geekbench ML Score
7491
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 26 2024 11:32 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2 |
| 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% |
3360
628.8 IPS |
|
|
Image Classification (F16)
|
100% |
6355
1.19 KIPS |
|
|
Image Classification (I8)
|
99% |
6785
1.27 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1389
23.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1604
26.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1603
26.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
22634
27.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
82675
100.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
85356
103.4 IPS |
|
|
Object Detection (F32)
|
100% |
2790
208.3 IPS |
|
|
Object Detection (F16)
|
100% |
3853
287.6 IPS |
|
|
Object Detection (I8)
|
97% |
2542
189.8 IPS |
|
|
Face Detection (F32)
|
100% |
9387
111.6 IPS |
|
|
Face Detection (F16)
|
97% |
14451
171.8 IPS |
|
|
Face Detection (I8)
|
96% |
14470
172.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
16000
124.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
37546
291.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
36437
282.6 IPS |
|
|
Style Transfer (F32)
|
100% |
39619
52.1 IPS |
|
|
Style Transfer (F16)
|
100% |
134769
177.3 IPS |
|
|
Style Transfer (I8)
|
100% |
135720
178.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8236
294.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18113
646.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17641
630.0 IPS |
|
|
Text Classification (F32)
|
100% |
1116
1.60 KIPS |
|
|
Text Classification (F16)
|
100% |
748
1.08 KIPS |
|
|
Text Classification (I8)
|
96% |
749
1.08 KIPS |
|
|
Machine Translation (F32)
|
100% |
799
14.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2551
47.0 IPS |
|
|
Machine Translation (I8)
|
99% |
731
13.5 IPS |
