iPhone 14 Pro Max
Geekbench AI Score
3255
Single Precision Score
4904
Half Precision Score
4238
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 04:47 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1450
269.7 IPS |
|
|
Image Classification (HP)
|
100% |
1925
358.0 IPS |
|
|
Image Classification (Q)
|
96% |
1484
277.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1263
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1257
20.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1858
30.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6498
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
14834
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12612
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1565
124.2 IPS |
|
|
Object Detection (HP)
|
97% |
2289
182.2 IPS |
|
|
Object Detection (Q)
|
94% |
1733
138.1 IPS |
|
|
Face Detection (SP)
|
100% |
2766
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
4502
53.5 IPS |
|
|
Face Detection (Q)
|
100% |
2907
34.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5616
43.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
8670
67.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
6642
51.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17680
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26888
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22503
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3856
142.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4830
178.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3698
136.5 IPS |
|
|
Text Classification (SP)
|
100% |
2585
3.45 KIPS |
|
|
Text Classification (HP)
|
100% |
4308
5.75 KIPS |
|
|
Text Classification (Q)
|
93% |
4295
5.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2623
45.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4489
77.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4495
77.7 IPS |
