iPhone 14 Pro Max
Geekbench AI Score
2070
Single Precision Score
12785
Half Precision Score
13453
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 10:25 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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 | 5.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
924
171.9 IPS |
|
|
Image Classification (HP)
|
100% |
5890
1.10 KIPS |
|
|
Image Classification (Q)
|
97% |
6016
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
703
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5065
82.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9276
150.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5295
6.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
81582
95.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
85546
100.3 IPS |
|
|
Object Detection (SP)
|
100% |
1241
98.5 IPS |
|
|
Object Detection (HP)
|
100% |
7180
569.5 IPS |
|
|
Object Detection (Q)
|
93% |
7564
603.6 IPS |
|
|
Face Detection (SP)
|
100% |
2033
24.2 IPS |
|
|
Face Detection (HP)
|
100% |
9208
109.4 IPS |
|
|
Face Detection (Q)
|
100% |
12440
147.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3390
26.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
39932
307.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
49707
388.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9973
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
122955
158.1 IPS |
|
|
Style Transfer (Q)
|
96% |
113999
147.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3030
111.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16558
611.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21038
776.8 IPS |
|
|
Text Classification (SP)
|
100% |
1373
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3692
4.93 KIPS |
|
|
Text Classification (Q)
|
93% |
1520
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1184
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2416
41.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2386
41.2 IPS |
