iPhone 14 Pro Max
Geekbench AI Score
4160
Single Precision Score
4581
Half Precision Score
4289
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 30 2025 10:08 PM |
| Views | 29 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1649
306.6 IPS |
|
|
Image Classification (HP)
|
100% |
1587
295.1 IPS |
|
|
Image Classification (Q)
|
96% |
1662
310.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2870
46.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2921
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2820
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11689
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12816
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12419
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1981
157.1 IPS |
|
|
Object Detection (HP)
|
100% |
1984
157.4 IPS |
|
|
Object Detection (Q)
|
92% |
1714
136.8 IPS |
|
|
Face Detection (SP)
|
100% |
5306
63.0 IPS |
|
|
Face Detection (HP)
|
100% |
6132
72.9 IPS |
|
|
Face Detection (Q)
|
100% |
4976
59.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8555
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9027
69.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8266
64.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21350
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24145
31.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23581
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4862
179.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5066
187.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4281
158.1 IPS |
|
|
Text Classification (SP)
|
100% |
2721
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4827
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4813
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1106
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1058
18.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1059
18.3 IPS |
