iPhone 14 Pro Max
Geekbench AI Score
3494
Single Precision Score
6166
Half Precision Score
4976
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 10 2025 04:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1400
260.3 IPS |
|
|
Image Classification (HP)
|
100% |
2479
461.0 IPS |
|
|
Image Classification (Q)
|
96% |
1725
322.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1434
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2206
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2651
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6504
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
15380
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13155
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1564
124.1 IPS |
|
|
Object Detection (HP)
|
97% |
2948
234.7 IPS |
|
|
Object Detection (Q)
|
94% |
2089
166.5 IPS |
|
|
Face Detection (SP)
|
100% |
2948
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
6110
72.6 IPS |
|
|
Face Detection (Q)
|
100% |
3530
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6194
47.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12320
95.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8291
64.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18857
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29212
37.6 IPS |
|
|
Style Transfer (Q)
|
96% |
24171
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4043
149.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5176
191.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3764
139.0 IPS |
|
|
Text Classification (SP)
|
100% |
2676
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4725
6.31 KIPS |
|
|
Text Classification (Q)
|
93% |
4704
6.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3566
61.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5960
103.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5918
102.3 IPS |
