iPhone 14 Pro Max
Geekbench AI Score
3555
Single Precision Score
6091
Half Precision Score
4940
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 12:45 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% |
2542
472.7 IPS |
|
|
Image Classification (Q)
|
96% |
1748
326.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1447
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2684
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6944
8.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
15109
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12965
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1588
125.9 IPS |
|
|
Object Detection (HP)
|
97% |
2909
231.6 IPS |
|
|
Object Detection (Q)
|
94% |
2047
163.1 IPS |
|
|
Face Detection (SP)
|
100% |
3105
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6012
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
3471
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6233
48.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12238
94.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8329
65.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19183
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29095
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24063
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4228
156.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4917
181.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3690
136.2 IPS |
|
|
Text Classification (SP)
|
100% |
2621
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4750
6.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4603
6.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3444
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5868
101.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5891
101.8 IPS |
