iPhone 14 Pro Max
Geekbench AI Score
3551
Single Precision Score
6117
Half Precision Score
4946
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 24 2024 08:31 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1421
264.3 IPS |
|
|
Image Classification (HP)
|
100% |
2530
470.5 IPS |
|
|
Image Classification (Q)
|
96% |
1734
323.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1431
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2150
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2682
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7043
8.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
15241
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13000
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1593
126.3 IPS |
|
|
Object Detection (HP)
|
97% |
2920
232.4 IPS |
|
|
Object Detection (Q)
|
94% |
2051
163.5 IPS |
|
|
Face Detection (SP)
|
100% |
3124
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6093
72.4 IPS |
|
|
Face Detection (Q)
|
100% |
3494
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6343
48.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12220
94.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8345
65.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18792
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28183
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23679
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4198
155.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5231
193.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3693
136.4 IPS |
|
|
Text Classification (SP)
|
100% |
2607
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4631
6.18 KIPS |
|
|
Text Classification (Q)
|
93% |
4719
6.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3438
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5963
103.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5873
101.5 IPS |
