iPhone 14 Pro Max
Geekbench AI Score
4157
Single Precision Score
4587
Half Precision Score
4219
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | RDNewman |
| Upload Date | April 22 2025 02:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1622
301.6 IPS |
|
|
Image Classification (HP)
|
100% |
1598
297.2 IPS |
|
|
Image Classification (Q)
|
96% |
1653
308.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2837
46.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3001
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2768
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11693
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12418
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
11883
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1931
153.2 IPS |
|
|
Object Detection (HP)
|
100% |
1908
151.4 IPS |
|
|
Object Detection (Q)
|
92% |
1700
135.7 IPS |
|
|
Face Detection (SP)
|
100% |
5387
64.0 IPS |
|
|
Face Detection (HP)
|
100% |
6401
76.1 IPS |
|
|
Face Detection (Q)
|
100% |
5116
60.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9033
69.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9021
69.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7997
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21029
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23361
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23379
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4766
176.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4935
182.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4108
151.7 IPS |
|
|
Text Classification (SP)
|
100% |
2718
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4870
6.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4894
6.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1120
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1120
19.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1007
17.4 IPS |
