iPhone 13 Pro Max
Geekbench ML Score
3720
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 01:17 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 5.51 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1327
248.3 IPS |
|
|
Image Classification (F16)
|
100% |
2321
434.2 IPS |
|
|
Image Classification (I8)
|
99% |
2318
433.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
817
13.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1099
18.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1076
18.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
6275
7.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
13791
16.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
13754
16.7 IPS |
|
|
Object Detection (F32)
|
100% |
1348
100.7 IPS |
|
|
Object Detection (F16)
|
100% |
2272
169.6 IPS |
|
|
Object Detection (I8)
|
97% |
1345
100.4 IPS |
|
|
Face Detection (F32)
|
100% |
2585
30.7 IPS |
|
|
Face Detection (F16)
|
97% |
5426
64.5 IPS |
|
|
Face Detection (I8)
|
97% |
5433
64.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5316
41.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
11065
85.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
11084
86.0 IPS |
|
|
Style Transfer (F32)
|
100% |
17321
22.8 IPS |
|
|
Style Transfer (F16)
|
100% |
26334
34.6 IPS |
|
|
Style Transfer (I8)
|
100% |
26531
34.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4152
148.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4840
172.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4858
173.5 IPS |
|
|
Text Classification (F32)
|
100% |
2207
3.17 KIPS |
|
|
Text Classification (F16)
|
100% |
3768
5.42 KIPS |
|
|
Text Classification (I8)
|
96% |
3852
5.54 KIPS |
|
|
Machine Translation (F32)
|
100% |
1213
22.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1435
26.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1189
21.9 IPS |
