iPhone 14 Pro Max
Geekbench AI Score
3884
Single Precision Score
4320
Half Precision Score
3734
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | RDNewman |
| Upload Date | March 30 2025 01:14 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1588
295.4 IPS |
|
|
Image Classification (HP)
|
100% |
1652
307.2 IPS |
|
|
Image Classification (Q)
|
97% |
1254
233.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2282
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2555
41.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2535
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11849
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12430
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11298
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1930
153.1 IPS |
|
|
Object Detection (HP)
|
100% |
1907
151.2 IPS |
|
|
Object Detection (Q)
|
91% |
1543
123.3 IPS |
|
|
Face Detection (SP)
|
100% |
5466
64.9 IPS |
|
|
Face Detection (HP)
|
100% |
6309
75.0 IPS |
|
|
Face Detection (Q)
|
100% |
4269
50.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8524
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8785
67.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7370
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20941
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23441
30.1 IPS |
|
|
Style Transfer (Q)
|
96% |
21985
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4599
169.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4600
169.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3676
135.7 IPS |
|
|
Text Classification (SP)
|
100% |
2657
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4720
6.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4687
6.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
791
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
803
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
798
13.8 IPS |
