iPhone 13 Pro Max
Geekbench ML Score
3256
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 19 2024 02:08 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1392
260.4 IPS |
|
|
Image Classification (F16)
|
100% |
1739
325.4 IPS |
|
|
Image Classification (I8)
|
99% |
1744
326.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
746
12.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
747
12.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
746
12.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
5805
7.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
13286
16.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
13282
16.1 IPS |
|
|
Object Detection (F32)
|
100% |
1353
101.0 IPS |
|
|
Object Detection (F16)
|
100% |
1844
137.7 IPS |
|
|
Object Detection (I8)
|
97% |
1357
101.3 IPS |
|
|
Face Detection (F32)
|
100% |
2362
28.1 IPS |
|
|
Face Detection (F16)
|
97% |
3946
46.9 IPS |
|
|
Face Detection (I8)
|
97% |
3947
46.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5026
39.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
8050
62.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
8070
62.6 IPS |
|
|
Style Transfer (F32)
|
100% |
16152
21.2 IPS |
|
|
Style Transfer (F16)
|
100% |
25111
33.0 IPS |
|
|
Style Transfer (I8)
|
100% |
25095
33.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3707
132.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4847
173.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5076
181.3 IPS |
|
|
Text Classification (F32)
|
100% |
2190
3.15 KIPS |
|
|
Text Classification (F16)
|
100% |
3108
4.47 KIPS |
|
|
Text Classification (I8)
|
96% |
3116
4.48 KIPS |
|
|
Machine Translation (F32)
|
100% |
1109
20.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1387
25.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1091
20.1 IPS |
