iPhone 14 Pro Max
Geekbench AI Score
3511
Single Precision Score
6169
Half Precision Score
5019
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 24 2025 03:55 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 |
| Memory Information | |
|---|---|
| Size | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1428
265.6 IPS |
|
|
Image Classification (HP)
|
100% |
2547
473.6 IPS |
|
|
Image Classification (Q)
|
96% |
1750
326.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1405
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2628
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6794
7.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
15392
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13087
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1571
124.6 IPS |
|
|
Object Detection (HP)
|
97% |
2898
230.7 IPS |
|
|
Object Detection (Q)
|
94% |
2056
163.9 IPS |
|
|
Face Detection (SP)
|
100% |
3056
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
5967
70.9 IPS |
|
|
Face Detection (Q)
|
100% |
3442
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6053
46.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11683
90.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7928
62.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18635
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29572
38.0 IPS |
|
|
Style Transfer (Q)
|
96% |
24322
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4030
148.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5092
188.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3855
142.4 IPS |
|
|
Text Classification (SP)
|
100% |
2709
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4845
6.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4864
6.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3538
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6568
113.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6590
113.9 IPS |
