iPhone 14 Pro Max
Geekbench AI Score
3842
Single Precision Score
4239
Half Precision Score
3720
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | RDNewman |
| Upload Date | January 05 2025 02:58 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1642
305.4 IPS |
|
|
Image Classification (HP)
|
100% |
1518
282.2 IPS |
|
|
Image Classification (Q)
|
97% |
1429
266.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2252
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2564
41.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2533
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11395
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
10796
12.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
10186
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1805
143.1 IPS |
|
|
Object Detection (HP)
|
100% |
1900
150.7 IPS |
|
|
Object Detection (Q)
|
91% |
1509
120.6 IPS |
|
|
Face Detection (SP)
|
100% |
5261
62.5 IPS |
|
|
Face Detection (HP)
|
100% |
6318
75.1 IPS |
|
|
Face Detection (Q)
|
100% |
4161
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8565
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8905
68.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7236
56.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21021
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23496
30.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21977
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4579
169.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4673
172.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4023
148.5 IPS |
|
|
Text Classification (SP)
|
100% |
2645
3.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4714
6.29 KIPS |
|
|
Text Classification (Q)
|
93% |
4704
6.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
805
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
806
13.9 IPS |
|
|
Machine Translation (Q)
|
98% |
730
12.6 IPS |
