iPhone 14 Pro Max
Geekbench AI Score
3538
Single Precision Score
6077
Half Precision Score
5273
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 29 2024 11:41 AM |
| Views | 2 |
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% |
1427
265.4 IPS |
|
|
Image Classification (HP)
|
100% |
2509
466.6 IPS |
|
|
Image Classification (Q)
|
99% |
2539
473.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1435
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2142
34.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
2148
34.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6919
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
15008
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
12869
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1575
124.9 IPS |
|
|
Object Detection (HP)
|
97% |
2905
231.2 IPS |
|
|
Object Detection (Q)
|
94% |
2044
162.9 IPS |
|
|
Face Detection (SP)
|
100% |
3100
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
6027
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
3470
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6185
47.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12198
94.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
12152
94.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18801
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28251
36.3 IPS |
|
|
Style Transfer (Q)
|
100% |
28139
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4169
154.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5201
192.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3695
136.9 IPS |
|
|
Text Classification (SP)
|
100% |
2612
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4622
6.17 KIPS |
|
|
Text Classification (Q)
|
93% |
4550
6.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3517
60.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5877
101.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5815
100.5 IPS |
