iPad Pro (11-inch, 4th generation)
Geekbench ML Score
5865
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 26 2024 02:14 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 7.36 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3459
647.3 IPS |
|
|
Image Classification (F16)
|
100% |
3435
642.8 IPS |
|
|
Image Classification (I8)
|
99% |
3090
578.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1411
23.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1551
25.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1528
25.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
23540
28.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
25167
30.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
24307
29.4 IPS |
|
|
Object Detection (F32)
|
100% |
2800
209.1 IPS |
|
|
Object Detection (F16)
|
100% |
2932
218.9 IPS |
|
|
Object Detection (I8)
|
97% |
2666
199.0 IPS |
|
|
Face Detection (F32)
|
100% |
8868
105.4 IPS |
|
|
Face Detection (F16)
|
98% |
9968
118.5 IPS |
|
|
Face Detection (I8)
|
97% |
9761
116.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
16343
126.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
17524
135.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
16039
124.4 IPS |
|
|
Style Transfer (F32)
|
100% |
36882
48.5 IPS |
|
|
Style Transfer (F16)
|
100% |
42645
56.1 IPS |
|
|
Style Transfer (I8)
|
100% |
45922
60.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9751
348.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10246
365.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7865
280.9 IPS |
|
|
Text Classification (F32)
|
100% |
1997
2.87 KIPS |
|
|
Text Classification (F16)
|
100% |
3305
4.75 KIPS |
|
|
Text Classification (I8)
|
96% |
3290
4.73 KIPS |
|
|
Machine Translation (F32)
|
100% |
862
15.9 IPS |
|
|
Machine Translation (F16)
|
100% |
860
15.8 IPS |
|
|
Machine Translation (I8)
|
99% |
799
14.7 IPS |
