iPhone 14 Pro Max
Geekbench AI Score
3434
Single Precision Score
22806
Half Precision Score
26455
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 04:50 PM |
| Views | 3 |
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% |
1337
248.6 IPS |
|
|
Image Classification (HP)
|
100% |
9732
1.81 KIPS |
|
|
Image Classification (Q)
|
97% |
11993
2.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1363
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15390
249.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
16948
274.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6600
7.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
100772
117.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
103146
120.9 IPS |
|
|
Object Detection (SP)
|
100% |
1465
116.2 IPS |
|
|
Object Detection (HP)
|
100% |
12743
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
15073
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
3125
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
26138
310.6 IPS |
|
|
Face Detection (Q)
|
100% |
39227
466.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5935
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
72558
559.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
93098
727.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18706
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
168847
217.1 IPS |
|
|
Style Transfer (Q)
|
96% |
174524
225.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3903
144.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32285
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36405
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
2815
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2725
3.64 KIPS |
|
|
Text Classification (Q)
|
93% |
2800
3.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3396
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7027
121.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8181
141.4 IPS |
