iPhone 14 Pro Max
Geekbench ML Score
2181
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 22 2024 09:46 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.3 |
| Model | iPhone 14 Pro Max |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 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 | 5.49 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1233
230.7 IPS |
|
|
Image Classification (F16)
|
100% |
1115
208.6 IPS |
|
|
Image Classification (I8)
|
99% |
1101
206.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
557
9.31 IPS |
|
|
Image Segmentation (F16)
|
100% |
499
8.33 IPS |
|
|
Image Segmentation (I8)
|
100% |
493
8.24 IPS |
|
|
Pose Estimation (F32)
|
100% |
6293
7.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
12151
14.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
12134
14.7 IPS |
|
|
Object Detection (F32)
|
100% |
1259
94.0 IPS |
|
|
Object Detection (F16)
|
100% |
1231
91.9 IPS |
|
|
Object Detection (I8)
|
97% |
1264
94.4 IPS |
|
|
Face Detection (F32)
|
100% |
2273
27.0 IPS |
|
|
Face Detection (F16)
|
100% |
1961
23.3 IPS |
|
|
Face Detection (I8)
|
99% |
1962
23.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
4168
32.3 IPS |
|
|
Depth Estimation (F16)
|
99% |
4502
34.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
4397
34.1 IPS |
|
|
Style Transfer (F32)
|
100% |
11509
15.1 IPS |
|
|
Style Transfer (F16)
|
100% |
13490
17.7 IPS |
|
|
Style Transfer (I8)
|
100% |
13474
17.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3409
121.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3046
108.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3052
109.0 IPS |
|
|
Text Classification (F32)
|
100% |
1273
1.83 KIPS |
|
|
Text Classification (F16)
|
100% |
825
1.19 KIPS |
|
|
Text Classification (I8)
|
96% |
823
1.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
933
17.2 IPS |
|
|
Machine Translation (F16)
|
99% |
1078
19.8 IPS |
|
|
Machine Translation (I8)
|
99% |
934
17.2 IPS |
