iPhone 14 Pro Max
Geekbench AI Score
3534
Single Precision Score
6047
Half Precision Score
4905
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 07:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1420
264.1 IPS |
|
|
Image Classification (HP)
|
100% |
2552
474.6 IPS |
|
|
Image Classification (Q)
|
96% |
1727
322.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1426
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2160
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2679
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7092
8.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
15114
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13018
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
97% |
2907
231.5 IPS |
|
|
Object Detection (Q)
|
94% |
2043
162.9 IPS |
|
|
Face Detection (SP)
|
100% |
3017
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
6030
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
3488
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6116
47.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12105
93.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8195
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18938
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28452
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23724
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4226
156.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4837
178.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3673
135.6 IPS |
|
|
Text Classification (SP)
|
100% |
2662
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4619
6.17 KIPS |
|
|
Text Classification (Q)
|
93% |
4551
6.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3407
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5820
100.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5785
100.0 IPS |
