iPhone 14 Pro Max
Geekbench AI Score
3546
Single Precision Score
23050
Half Precision Score
26700
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 10 2025 11:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 |
| Memory Information | |
|---|---|
| Size | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1374
255.5 IPS |
|
|
Image Classification (HP)
|
100% |
10025
1.86 KIPS |
|
|
Image Classification (Q)
|
97% |
12542
2.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1410
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14394
233.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19092
309.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6875
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
99206
115.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
103360
121.1 IPS |
|
|
Object Detection (SP)
|
100% |
1574
124.9 IPS |
|
|
Object Detection (HP)
|
100% |
12530
993.9 IPS |
|
|
Object Detection (Q)
|
91% |
14157
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3191
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
31141
370.0 IPS |
|
|
Face Detection (Q)
|
100% |
39891
474.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6150
47.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
71384
550.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
88871
694.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18798
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
158773
204.1 IPS |
|
|
Style Transfer (Q)
|
96% |
173470
223.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4085
150.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33035
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36335
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
2690
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
2839
3.79 KIPS |
|
|
Text Classification (Q)
|
93% |
2832
3.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3709
63.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7132
122.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8306
143.5 IPS |
