iPad Pro (11-inch, 4th generation)
Geekbench ML Score
7366
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 16 2024 02:50 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| 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 | 7.33 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3360
628.7 IPS |
|
|
Image Classification (F16)
|
100% |
6499
1.22 KIPS |
|
|
Image Classification (I8)
|
99% |
6906
1.29 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1435
24.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1603
26.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1617
27.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
23460
28.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
82990
100.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
82895
100.4 IPS |
|
|
Object Detection (F32)
|
100% |
2834
211.6 IPS |
|
|
Object Detection (F16)
|
100% |
3785
282.5 IPS |
|
|
Object Detection (I8)
|
97% |
2601
194.2 IPS |
|
|
Face Detection (F32)
|
100% |
9324
110.9 IPS |
|
|
Face Detection (F16)
|
97% |
10601
126.1 IPS |
|
|
Face Detection (I8)
|
96% |
10656
126.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
16292
126.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
38067
295.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
30252
234.6 IPS |
|
|
Style Transfer (F32)
|
100% |
40304
53.0 IPS |
|
|
Style Transfer (F16)
|
100% |
131195
172.6 IPS |
|
|
Style Transfer (I8)
|
100% |
134299
176.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9455
337.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18498
660.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18267
652.4 IPS |
|
|
Text Classification (F32)
|
100% |
1104
1.59 KIPS |
|
|
Text Classification (F16)
|
100% |
742
1.07 KIPS |
|
|
Text Classification (I8)
|
96% |
742
1.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
780
14.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2603
47.9 IPS |
|
|
Machine Translation (I8)
|
99% |
745
13.7 IPS |
