iPhone 14 Pro Max
Geekbench AI Score
4129
Single Precision Score
4544
Half Precision Score
4318
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 12 2025 10:52 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% |
1627
302.5 IPS |
|
|
Image Classification (HP)
|
100% |
1607
298.9 IPS |
|
|
Image Classification (Q)
|
96% |
1657
309.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2876
46.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2903
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2777
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11659
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12737
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12413
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1972
156.4 IPS |
|
|
Object Detection (HP)
|
100% |
1908
151.3 IPS |
|
|
Object Detection (Q)
|
92% |
1691
135.0 IPS |
|
|
Face Detection (SP)
|
100% |
5400
64.2 IPS |
|
|
Face Detection (HP)
|
100% |
5928
70.4 IPS |
|
|
Face Detection (Q)
|
100% |
5146
61.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8501
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9026
69.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8209
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21251
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
24167
31.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23568
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4772
176.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4928
182.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4335
160.1 IPS |
|
|
Text Classification (SP)
|
100% |
2684
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4777
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4761
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1072
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1088
18.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1136
19.6 IPS |
