iPhone 14 Pro Max
Geekbench AI Score
4160
Single Precision Score
4574
Half Precision Score
4263
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | stgzach |
| Upload Date | April 10 2025 01:57 PM |
| Views | 3 |
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% |
1640
304.9 IPS |
|
|
Image Classification (HP)
|
100% |
1598
297.2 IPS |
|
|
Image Classification (Q)
|
96% |
1655
309.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2849
46.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2920
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2768
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11735
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12763
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12372
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1986
157.5 IPS |
|
|
Object Detection (HP)
|
100% |
1981
157.1 IPS |
|
|
Object Detection (Q)
|
92% |
1738
138.7 IPS |
|
|
Face Detection (SP)
|
100% |
5511
65.5 IPS |
|
|
Face Detection (HP)
|
100% |
6173
73.3 IPS |
|
|
Face Detection (Q)
|
100% |
5136
61.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8312
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9008
69.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
8284
64.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21216
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
24155
31.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23573
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4812
177.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5028
185.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4300
158.8 IPS |
|
|
Text Classification (SP)
|
100% |
2684
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4799
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4696
6.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1137
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1049
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
995
17.2 IPS |
