iPhone 14 Pro Max
Geekbench AI Score
3533
Single Precision Score
6074
Half Precision Score
4926
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 09:26 PM |
| Views | 1 |
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% |
1391
258.8 IPS |
|
|
Image Classification (HP)
|
100% |
2533
471.1 IPS |
|
|
Image Classification (Q)
|
96% |
1717
320.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1438
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2678
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7097
8.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
15144
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13285
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1583
125.6 IPS |
|
|
Object Detection (HP)
|
97% |
2911
231.8 IPS |
|
|
Object Detection (Q)
|
94% |
2044
162.9 IPS |
|
|
Face Detection (SP)
|
100% |
3078
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
6036
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3480
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6226
48.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12213
94.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8194
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18872
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28126
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23757
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4208
155.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5103
188.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3700
136.6 IPS |
|
|
Text Classification (SP)
|
100% |
2609
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4596
6.13 KIPS |
|
|
Text Classification (Q)
|
93% |
4566
6.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3400
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5866
101.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5888
101.7 IPS |
