iPhone 14 Pro Max
Geekbench ML Score
4005
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 27 2024 01:50 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 5.51 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1393
260.7 IPS |
|
|
Image Classification (F16)
|
100% |
2476
463.2 IPS |
|
|
Image Classification (I8)
|
99% |
2499
467.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
834
13.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1081
18.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1089
18.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6849
8.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
14700
17.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
14611
17.7 IPS |
|
|
Object Detection (F32)
|
100% |
1459
109.0 IPS |
|
|
Object Detection (F16)
|
100% |
2431
181.5 IPS |
|
|
Object Detection (I8)
|
97% |
1460
109.0 IPS |
|
|
Face Detection (F32)
|
100% |
2877
34.2 IPS |
|
|
Face Detection (F16)
|
97% |
5735
68.2 IPS |
|
|
Face Detection (I8)
|
97% |
5739
68.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
6184
48.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
12108
93.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
12140
94.1 IPS |
|
|
Style Transfer (F32)
|
100% |
18824
24.8 IPS |
|
|
Style Transfer (F16)
|
100% |
27483
36.2 IPS |
|
|
Style Transfer (I8)
|
100% |
27593
36.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4414
157.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5106
182.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5155
184.1 IPS |
|
|
Text Classification (F32)
|
100% |
2433
3.50 KIPS |
|
|
Text Classification (F16)
|
100% |
4216
6.06 KIPS |
|
|
Text Classification (I8)
|
96% |
4266
6.13 KIPS |
|
|
Machine Translation (F32)
|
100% |
1364
25.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1619
29.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1354
24.9 IPS |
