iPhone 14 Pro Max
Geekbench AI Score
3509
Single Precision Score
22835
Half Precision Score
26317
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | RDNewman |
| Upload Date | March 28 2025 11:14 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1401
260.5 IPS |
|
|
Image Classification (HP)
|
100% |
10415
1.94 KIPS |
|
|
Image Classification (Q)
|
97% |
12339
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1426
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14580
236.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
17739
287.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6961
8.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
99027
115.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
101634
119.1 IPS |
|
|
Object Detection (SP)
|
100% |
1574
124.9 IPS |
|
|
Object Detection (HP)
|
100% |
13077
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
14899
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
2930
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
30501
362.4 IPS |
|
|
Face Detection (Q)
|
100% |
39008
463.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6108
47.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
75056
578.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
97846
765.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18852
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
168208
216.2 IPS |
|
|
Style Transfer (Q)
|
96% |
167835
216.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4201
155.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32861
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38449
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
2663
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
2172
2.90 KIPS |
|
|
Text Classification (Q)
|
93% |
2411
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3433
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7134
122.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8098
140.0 IPS |
