iPhone 14 Pro Max
Geekbench AI Score
3013
Single Precision Score
5309
Half Precision Score
4497
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 07:21 PM |
| Views | 2 |
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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
990
184.0 IPS |
|
|
Image Classification (HP)
|
100% |
1817
337.8 IPS |
|
|
Image Classification (Q)
|
96% |
1722
321.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1060
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1742
28.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1932
31.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5618
6.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
13186
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11930
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1445
114.6 IPS |
|
|
Object Detection (HP)
|
97% |
2814
224.0 IPS |
|
|
Object Detection (Q)
|
94% |
1958
156.1 IPS |
|
|
Face Detection (SP)
|
100% |
2299
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
5830
69.3 IPS |
|
|
Face Detection (Q)
|
100% |
3184
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5581
43.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11087
85.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7648
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16851
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26406
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22052
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3691
136.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3183
117.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2919
107.8 IPS |
|
|
Text Classification (SP)
|
100% |
2634
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4762
6.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4731
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3449
59.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5856
101.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5879
101.6 IPS |
