iPhone 14 Pro Max
Geekbench AI Score
3446
Single Precision Score
6008
Half Precision Score
4904
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | RDNewman |
| Upload Date | January 05 2025 02:51 AM |
| Views | 2 |
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% |
1387
258.0 IPS |
|
|
Image Classification (HP)
|
100% |
2550
474.2 IPS |
|
|
Image Classification (Q)
|
96% |
1727
322.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1424
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2679
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6076
7.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
14406
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12582
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1551
123.0 IPS |
|
|
Object Detection (HP)
|
97% |
2893
230.3 IPS |
|
|
Object Detection (Q)
|
94% |
2039
162.5 IPS |
|
|
Face Detection (SP)
|
100% |
3070
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
6103
72.5 IPS |
|
|
Face Detection (Q)
|
100% |
3478
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6140
47.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12128
93.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8167
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18130
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27918
35.9 IPS |
|
|
Style Transfer (Q)
|
96% |
23667
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4155
153.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4793
177.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3650
134.8 IPS |
|
|
Text Classification (SP)
|
100% |
2640
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4734
6.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4713
6.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3392
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5699
98.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5869
101.4 IPS |
