iPhone 14 Pro Max
Geekbench AI Score
3539
Single Precision Score
4289
Half Precision Score
4292
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | atti |
| Upload Date | April 05 2026 01:28 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
1365
253.8 IPS |
|
|
Image Classification (HP)
|
100% |
1217
226.3 IPS |
|
|
Image Classification (Q)
|
94% |
1180
220.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2818
45.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2880
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2717
44.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10492
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
10863
12.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
11858
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1836
145.7 IPS |
|
|
Object Detection (HP)
|
100% |
1983
157.3 IPS |
|
|
Object Detection (Q)
|
91% |
1998
159.7 IPS |
|
|
Face Detection (SP)
|
100% |
5114
60.8 IPS |
|
|
Face Detection (HP)
|
100% |
6070
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
5735
68.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8680
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9561
73.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8407
65.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20365
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20722
26.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23853
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4152
153.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5086
187.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4455
164.5 IPS |
|
|
Text Classification (SP)
|
100% |
987
1.32 KIPS |
|
|
Text Classification (HP)
|
99% |
3679
4.91 KIPS |
|
|
Text Classification (Q)
|
93% |
4900
6.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1125
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1240
21.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1114
19.2 IPS |
