iPhone 14 Pro Max
Geekbench AI Score
3534
Single Precision Score
21989
Half Precision Score
24047
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 20 2025 02:27 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1370
254.7 IPS |
|
|
Image Classification (HP)
|
100% |
9097
1.69 KIPS |
|
|
Image Classification (Q)
|
97% |
10267
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1401
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14877
241.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18889
306.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6830
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
95127
111.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
101157
118.6 IPS |
|
|
Object Detection (SP)
|
100% |
1575
124.9 IPS |
|
|
Object Detection (HP)
|
100% |
12386
982.5 IPS |
|
|
Object Detection (Q)
|
91% |
14292
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3158
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
30642
364.1 IPS |
|
|
Face Detection (Q)
|
100% |
38907
462.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6018
46.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
71824
553.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
88606
692.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18903
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
166186
213.6 IPS |
|
|
Style Transfer (Q)
|
96% |
165125
213.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3999
147.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32181
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35949
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
2741
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
2014
2.69 KIPS |
|
|
Text Classification (Q)
|
93% |
1388
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3747
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6994
120.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8121
140.3 IPS |
