iPhone 14 Pro Max
Geekbench AI Score
3242
Single Precision Score
4959
Half Precision Score
4243
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:59 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% |
1455
270.7 IPS |
|
|
Image Classification (HP)
|
100% |
1920
357.1 IPS |
|
|
Image Classification (Q)
|
96% |
1427
266.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1227
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1219
19.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1812
29.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6101
7.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
14459
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12518
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1516
120.2 IPS |
|
|
Object Detection (HP)
|
97% |
2277
181.3 IPS |
|
|
Object Detection (Q)
|
94% |
1747
139.3 IPS |
|
|
Face Detection (SP)
|
100% |
2698
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
4506
53.5 IPS |
|
|
Face Detection (Q)
|
100% |
2882
34.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5424
41.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
8782
67.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
6598
51.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17735
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27312
35.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22865
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3818
141.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5208
192.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3752
138.5 IPS |
|
|
Text Classification (SP)
|
100% |
2636
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4488
5.99 KIPS |
|
|
Text Classification (Q)
|
93% |
4480
6.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2978
51.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4624
79.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4584
79.2 IPS |
