iPhone 14 Pro Max
Geekbench AI Score
3598
Single Precision Score
6146
Half Precision Score
5001
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 12:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1431
266.1 IPS |
|
|
Image Classification (HP)
|
100% |
2546
473.4 IPS |
|
|
Image Classification (Q)
|
96% |
1753
327.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1440
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2160
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2697
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7189
8.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
15477
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13324
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (HP)
|
97% |
2927
233.1 IPS |
|
|
Object Detection (Q)
|
94% |
2085
166.2 IPS |
|
|
Face Detection (SP)
|
100% |
3150
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6116
72.7 IPS |
|
|
Face Detection (Q)
|
100% |
3531
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6370
49.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12383
95.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8375
65.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19083
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
28865
37.1 IPS |
|
|
Style Transfer (Q)
|
96% |
24042
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4328
159.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5013
185.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3765
139.0 IPS |
|
|
Text Classification (SP)
|
100% |
2689
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4787
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4741
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3475
59.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5885
101.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5878
101.6 IPS |
