iPad Pro (11-inch, 4th generation)
Geekbench ML Score
5155
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 22 2024 04:28 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 7.33 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3332
623.5 IPS |
|
|
Image Classification (F16)
|
100% |
3382
632.9 IPS |
|
|
Image Classification (I8)
|
99% |
3039
568.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1435
24.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1534
25.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1517
25.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
22659
27.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
25003
30.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
24374
29.5 IPS |
|
|
Object Detection (F32)
|
100% |
2819
210.4 IPS |
|
|
Object Detection (F16)
|
100% |
2840
212.0 IPS |
|
|
Object Detection (I8)
|
97% |
2614
195.1 IPS |
|
|
Face Detection (F32)
|
100% |
9304
110.6 IPS |
|
|
Face Detection (F16)
|
98% |
10549
125.4 IPS |
|
|
Face Detection (I8)
|
97% |
10114
120.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
16099
124.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
17698
137.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
15918
123.4 IPS |
|
|
Style Transfer (F32)
|
100% |
39171
51.5 IPS |
|
|
Style Transfer (F16)
|
100% |
42644
56.1 IPS |
|
|
Style Transfer (I8)
|
100% |
42876
56.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9546
340.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10164
363.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7787
278.1 IPS |
|
|
Text Classification (F32)
|
100% |
1107
1.59 KIPS |
|
|
Text Classification (F16)
|
100% |
742
1.07 KIPS |
|
|
Text Classification (I8)
|
96% |
743
1.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
793
14.6 IPS |
|
|
Machine Translation (F16)
|
100% |
803
14.8 IPS |
|
|
Machine Translation (I8)
|
99% |
744
13.7 IPS |
