iPhone 14 Pro Max
Geekbench AI Score
3523
Single Precision Score
6052
Half Precision Score
4914
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 08:39 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% |
1418
263.7 IPS |
|
|
Image Classification (HP)
|
100% |
2538
472.1 IPS |
|
|
Image Classification (Q)
|
96% |
1728
322.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1414
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2679
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6940
8.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
15143
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12974
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1572
124.7 IPS |
|
|
Object Detection (HP)
|
97% |
2908
231.5 IPS |
|
|
Object Detection (Q)
|
94% |
2044
162.9 IPS |
|
|
Face Detection (SP)
|
100% |
3072
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
6023
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
3482
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6128
47.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12159
94.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8223
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18811
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28116
36.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23691
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4219
155.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4851
179.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3681
135.9 IPS |
|
|
Text Classification (SP)
|
100% |
2614
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4684
6.25 KIPS |
|
|
Text Classification (Q)
|
93% |
4566
6.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3453
59.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5848
101.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5867
101.4 IPS |
