iPhone 14 Pro Max
Geekbench ML Score
851
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 21 2025 01:22 AM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.2 |
| 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% |
389
72.9 IPS |
|
|
Image Classification (F16)
|
100% |
399
74.7 IPS |
|
|
Image Classification (I8)
|
99% |
396
74.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
296
4.94 IPS |
|
|
Image Segmentation (F16)
|
100% |
256
4.27 IPS |
|
|
Image Segmentation (I8)
|
100% |
253
4.23 IPS |
|
|
Pose Estimation (F32)
|
100% |
2319
2.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
4217
5.11 IPS |
|
|
Pose Estimation (I8)
|
100% |
4245
5.14 IPS |
|
|
Object Detection (F32)
|
100% |
443
33.0 IPS |
|
|
Object Detection (F16)
|
100% |
461
34.4 IPS |
|
|
Object Detection (I8)
|
97% |
440
32.8 IPS |
|
|
Face Detection (F32)
|
100% |
851
10.1 IPS |
|
|
Face Detection (F16)
|
100% |
729
8.67 IPS |
|
|
Face Detection (I8)
|
99% |
727
8.64 IPS |
|
|
Depth Estimation (F32)
|
100% |
1462
11.3 IPS |
|
|
Depth Estimation (F16)
|
99% |
1595
12.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
1594
12.4 IPS |
|
|
Style Transfer (F32)
|
100% |
4416
5.81 IPS |
|
|
Style Transfer (F16)
|
100% |
5170
6.80 IPS |
|
|
Style Transfer (I8)
|
100% |
5256
6.91 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1054
37.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1155
41.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1169
41.8 IPS |
|
|
Text Classification (F32)
|
100% |
437
627.7 IPS |
|
|
Text Classification (F16)
|
100% |
222
318.6 IPS |
|
|
Text Classification (I8)
|
96% |
293
420.6 IPS |
|
|
Machine Translation (F32)
|
100% |
547
10.1 IPS |
|
|
Machine Translation (F16)
|
99% |
753
13.9 IPS |
|
|
Machine Translation (I8)
|
99% |
547
10.1 IPS |
