iPhone 13 Pro Max
Geekbench ML Score
3250
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 24 2024 07:42 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPhone 13 Pro Max |
| Model ID | iPhone14,3 |
| Motherboard | D64AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 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 | 5.47 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1400
262.0 IPS |
|
|
Image Classification (F16)
|
100% |
1731
323.9 IPS |
|
|
Image Classification (I8)
|
99% |
1731
324.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
746
12.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
772
12.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
740
12.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5746
6.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
13273
16.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
13240
16.0 IPS |
|
|
Object Detection (F32)
|
100% |
1338
99.9 IPS |
|
|
Object Detection (F16)
|
100% |
1830
136.7 IPS |
|
|
Object Detection (I8)
|
97% |
1339
99.9 IPS |
|
|
Face Detection (F32)
|
100% |
2343
27.9 IPS |
|
|
Face Detection (F16)
|
97% |
3903
46.4 IPS |
|
|
Face Detection (I8)
|
97% |
3884
46.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
4949
38.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8011
62.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
7994
62.0 IPS |
|
|
Style Transfer (F32)
|
100% |
16392
21.6 IPS |
|
|
Style Transfer (F16)
|
100% |
24790
32.6 IPS |
|
|
Style Transfer (I8)
|
100% |
24836
32.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3684
131.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4864
173.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4805
171.6 IPS |
|
|
Text Classification (F32)
|
100% |
2195
3.15 KIPS |
|
|
Text Classification (F16)
|
100% |
3474
4.99 KIPS |
|
|
Text Classification (I8)
|
96% |
3111
4.47 KIPS |
|
|
Machine Translation (F32)
|
100% |
1104
20.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1370
25.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1099
20.2 IPS |
