iPhone 14 Pro Max
Geekbench AI Score
3540
Single Precision Score
6067
Half Precision Score
4924
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | RDNewman |
| Upload Date | January 04 2025 01:17 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1440
267.8 IPS |
|
|
Image Classification (HP)
|
100% |
2512
467.1 IPS |
|
|
Image Classification (Q)
|
96% |
1752
327.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1435
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2151
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2682
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7048
8.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
15122
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12951
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1573
124.8 IPS |
|
|
Object Detection (HP)
|
97% |
2901
230.9 IPS |
|
|
Object Detection (Q)
|
94% |
2040
162.6 IPS |
|
|
Face Detection (SP)
|
100% |
3106
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6069
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
3479
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6184
47.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12282
94.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8226
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18777
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28252
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23690
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4170
154.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5016
185.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3685
136.1 IPS |
|
|
Text Classification (SP)
|
100% |
2611
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4581
6.12 KIPS |
|
|
Text Classification (Q)
|
93% |
4621
6.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3443
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5892
101.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5855
101.2 IPS |
