iPhone 14 Pro Max
Geekbench ML Score
860
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 09 2025 10:21 AM |
| Views | 3 |
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% |
385
72.0 IPS |
|
|
Image Classification (F16)
|
100% |
397
74.3 IPS |
|
|
Image Classification (I8)
|
99% |
402
75.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
293
4.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
254
4.25 IPS |
|
|
Image Segmentation (I8)
|
100% |
255
4.25 IPS |
|
|
Pose Estimation (F32)
|
100% |
2385
2.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
4384
5.31 IPS |
|
|
Pose Estimation (I8)
|
100% |
4398
5.33 IPS |
|
|
Object Detection (F32)
|
100% |
433
32.3 IPS |
|
|
Object Detection (F16)
|
100% |
455
33.9 IPS |
|
|
Object Detection (I8)
|
97% |
446
33.3 IPS |
|
|
Face Detection (F32)
|
100% |
856
10.2 IPS |
|
|
Face Detection (F16)
|
100% |
735
8.74 IPS |
|
|
Face Detection (I8)
|
99% |
734
8.73 IPS |
|
|
Depth Estimation (F32)
|
100% |
1449
11.2 IPS |
|
|
Depth Estimation (F16)
|
99% |
1630
12.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
1620
12.6 IPS |
|
|
Style Transfer (F32)
|
100% |
4444
5.85 IPS |
|
|
Style Transfer (F16)
|
100% |
5229
6.88 IPS |
|
|
Style Transfer (I8)
|
100% |
5256
6.91 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1028
36.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1143
40.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1145
40.9 IPS |
|
|
Text Classification (F32)
|
100% |
467
670.7 IPS |
|
|
Text Classification (F16)
|
100% |
225
322.9 IPS |
|
|
Text Classification (I8)
|
96% |
302
433.4 IPS |
|
|
Machine Translation (F32)
|
100% |
574
10.6 IPS |
|
|
Machine Translation (F16)
|
99% |
771
14.2 IPS |
|
|
Machine Translation (I8)
|
99% |
578
10.6 IPS |
