iPhone 14 Pro Max
Geekbench AI Score
3497
Single Precision Score
5986
Half Precision Score
4906
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | LeeCD |
| Upload Date | October 02 2024 08:49 AM |
| Views | 9 |
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% |
1393
259.0 IPS |
|
|
Image Classification (HP)
|
100% |
2421
450.2 IPS |
|
|
Image Classification (Q)
|
96% |
1679
313.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1316
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2015
32.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2683
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6966
8.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
15065
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12984
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
97% |
2908
231.5 IPS |
|
|
Object Detection (Q)
|
94% |
2050
163.4 IPS |
|
|
Face Detection (SP)
|
100% |
2950
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
6059
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
3478
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6334
48.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12208
94.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8209
64.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19115
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
28316
36.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23781
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4226
156.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4939
182.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3710
137.0 IPS |
|
|
Text Classification (SP)
|
100% |
2616
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4555
6.08 KIPS |
|
|
Text Classification (Q)
|
93% |
4547
6.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3437
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5871
101.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5891
101.8 IPS |
