iPhone 14 Pro Max
Geekbench AI Score
3531
Single Precision Score
6045
Half Precision Score
4937
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 05:56 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% |
1419
263.8 IPS |
|
|
Image Classification (HP)
|
100% |
2556
475.3 IPS |
|
|
Image Classification (Q)
|
96% |
1756
327.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1453
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2156
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2680
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7009
8.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
15102
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13005
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1580
125.3 IPS |
|
|
Object Detection (HP)
|
97% |
2914
232.0 IPS |
|
|
Object Detection (Q)
|
94% |
2072
165.2 IPS |
|
|
Face Detection (SP)
|
100% |
3045
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
6009
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
3481
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6129
47.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12113
93.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8168
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18804
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28178
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23674
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4214
155.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4862
179.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3663
135.3 IPS |
|
|
Text Classification (SP)
|
100% |
2615
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4590
6.13 KIPS |
|
|
Text Classification (Q)
|
93% |
4655
6.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3416
58.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5874
101.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5911
102.1 IPS |
