iPhone 14 Pro Max
Geekbench AI Score
3529
Single Precision Score
6089
Half Precision Score
5305
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | jake01756 |
| Upload Date | August 16 2024 07:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1430
265.9 IPS |
|
|
Image Classification (HP)
|
100% |
2517
468.1 IPS |
|
|
Image Classification (Q)
|
99% |
2513
468.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1432
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2151
34.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
2155
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6968
8.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
15150
17.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
12977
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
97% |
2905
231.3 IPS |
|
|
Object Detection (Q)
|
94% |
2062
164.4 IPS |
|
|
Face Detection (SP)
|
100% |
2937
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
5988
71.2 IPS |
|
|
Face Detection (Q)
|
100% |
3466
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6205
47.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12175
94.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
12162
94.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18937
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28526
36.7 IPS |
|
|
Style Transfer (Q)
|
100% |
28996
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4241
156.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5242
193.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3753
139.0 IPS |
|
|
Text Classification (SP)
|
100% |
2645
3.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4643
6.20 KIPS |
|
|
Text Classification (Q)
|
93% |
4644
6.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3472
59.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5817
100.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5724
98.9 IPS |
