iPhone 13 Pro Max
Geekbench ML Score
3270
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | Matso |
| Upload Date | April 13 2024 09:19 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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% |
1398
261.6 IPS |
|
|
Image Classification (F16)
|
100% |
1737
325.1 IPS |
|
|
Image Classification (I8)
|
99% |
1736
324.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
753
12.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
751
12.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
760
12.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
5826
7.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
13385
16.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
13400
16.2 IPS |
|
|
Object Detection (F32)
|
100% |
1350
100.8 IPS |
|
|
Object Detection (F16)
|
100% |
1850
138.1 IPS |
|
|
Object Detection (I8)
|
97% |
1351
100.9 IPS |
|
|
Face Detection (F32)
|
100% |
2369
28.2 IPS |
|
|
Face Detection (F16)
|
97% |
3967
47.2 IPS |
|
|
Face Detection (I8)
|
97% |
3972
47.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5033
39.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
8116
62.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
8108
62.9 IPS |
|
|
Style Transfer (F32)
|
100% |
16174
21.3 IPS |
|
|
Style Transfer (F16)
|
100% |
25061
33.0 IPS |
|
|
Style Transfer (I8)
|
100% |
25071
33.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3736
133.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4836
172.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4827
172.4 IPS |
|
|
Text Classification (F32)
|
100% |
2197
3.16 KIPS |
|
|
Text Classification (F16)
|
100% |
3276
4.71 KIPS |
|
|
Text Classification (I8)
|
96% |
3105
4.46 KIPS |
|
|
Machine Translation (F32)
|
100% |
1112
20.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1403
25.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1123
20.7 IPS |
