iPhone 14 Pro Max
Geekbench AI Score
3515
Single Precision Score
6041
Half Precision Score
5274
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 24 2024 10:27 AM |
| Views | 7 |
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% |
1395
259.5 IPS |
|
|
Image Classification (HP)
|
100% |
2552
474.7 IPS |
|
|
Image Classification (Q)
|
99% |
2490
464.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1424
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2152
34.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
2155
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6851
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
15051
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
12887
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1574
124.8 IPS |
|
|
Object Detection (HP)
|
97% |
2910
231.6 IPS |
|
|
Object Detection (Q)
|
94% |
2046
163.1 IPS |
|
|
Face Detection (SP)
|
100% |
3103
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6027
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
3479
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6218
47.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12193
94.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
12163
94.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18738
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28149
36.2 IPS |
|
|
Style Transfer (Q)
|
100% |
27998
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4155
153.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4855
179.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3649
135.2 IPS |
|
|
Text Classification (SP)
|
100% |
2609
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4564
6.09 KIPS |
|
|
Text Classification (Q)
|
93% |
4655
6.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3434
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5872
101.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5855
101.2 IPS |
