iPhone 14 Pro Max
Geekbench AI Score
4222
Single Precision Score
4593
Half Precision Score
4335
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 06 2025 04:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1741
323.8 IPS |
|
|
Image Classification (HP)
|
100% |
1551
288.4 IPS |
|
|
Image Classification (Q)
|
96% |
1665
310.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2857
46.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2902
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2843
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11660
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12802
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12410
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
2011
159.5 IPS |
|
|
Object Detection (HP)
|
100% |
1937
153.6 IPS |
|
|
Object Detection (Q)
|
92% |
1765
140.9 IPS |
|
|
Face Detection (SP)
|
100% |
5480
65.1 IPS |
|
|
Face Detection (HP)
|
100% |
6122
72.7 IPS |
|
|
Face Detection (Q)
|
100% |
5071
60.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8481
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9067
69.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
8437
65.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21250
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
24185
31.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23477
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4874
180.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5190
191.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4257
157.2 IPS |
|
|
Text Classification (SP)
|
100% |
2710
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4879
6.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4838
6.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1184
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1103
19.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1093
18.9 IPS |
