iPhone 13 Pro Max
Geekbench ML Score
3278
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | NikoEMG |
| Upload Date | May 09 2024 10:04 AM |
| Views | 3 |
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% |
1381
258.4 IPS |
|
|
Image Classification (F16)
|
100% |
1748
327.1 IPS |
|
|
Image Classification (I8)
|
99% |
1736
324.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
747
12.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
748
12.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
748
12.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
5817
7.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
13428
16.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
13358
16.2 IPS |
|
|
Object Detection (F32)
|
100% |
1351
100.9 IPS |
|
|
Object Detection (F16)
|
100% |
1838
137.2 IPS |
|
|
Object Detection (I8)
|
97% |
1357
101.3 IPS |
|
|
Face Detection (F32)
|
100% |
2360
28.1 IPS |
|
|
Face Detection (F16)
|
97% |
3952
47.0 IPS |
|
|
Face Detection (I8)
|
97% |
3969
47.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5050
39.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
8142
63.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
8062
62.5 IPS |
|
|
Style Transfer (F32)
|
100% |
16173
21.3 IPS |
|
|
Style Transfer (F16)
|
100% |
25068
33.0 IPS |
|
|
Style Transfer (I8)
|
100% |
25054
33.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3719
132.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4856
173.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4884
174.4 IPS |
|
|
Text Classification (F32)
|
100% |
2169
3.12 KIPS |
|
|
Text Classification (F16)
|
100% |
3410
4.90 KIPS |
|
|
Text Classification (I8)
|
96% |
3080
4.43 KIPS |
|
|
Machine Translation (F32)
|
100% |
1130
20.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1421
26.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1187
21.9 IPS |
