iPhone 14 Pro Max
Geekbench AI Score
3509
Single Precision Score
6065
Half Precision Score
4923
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | RDNewman |
| Upload Date | March 30 2025 01:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1405
261.4 IPS |
|
|
Image Classification (HP)
|
100% |
2560
476.1 IPS |
|
|
Image Classification (Q)
|
96% |
1735
324.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1417
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2679
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7065
8.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
15106
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12966
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1578
125.2 IPS |
|
|
Object Detection (HP)
|
97% |
2904
231.2 IPS |
|
|
Object Detection (Q)
|
94% |
2043
162.9 IPS |
|
|
Face Detection (SP)
|
100% |
2939
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
6009
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
3510
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6126
47.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12087
93.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8204
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18888
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28181
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23657
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4178
154.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4899
180.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3659
135.1 IPS |
|
|
Text Classification (SP)
|
100% |
2619
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4717
6.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4695
6.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3434
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5889
101.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5813
100.5 IPS |
