iPhone 14 Pro Max
Geekbench AI Score
3834
Single Precision Score
4193
Half Precision Score
3685
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 02:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1613
299.9 IPS |
|
|
Image Classification (HP)
|
100% |
1580
293.9 IPS |
|
|
Image Classification (Q)
|
97% |
1451
270.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2230
36.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2483
40.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2466
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11589
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
12317
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11291
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1932
153.2 IPS |
|
|
Object Detection (HP)
|
100% |
1893
150.1 IPS |
|
|
Object Detection (Q)
|
91% |
1575
125.9 IPS |
|
|
Face Detection (SP)
|
100% |
4993
59.3 IPS |
|
|
Face Detection (HP)
|
100% |
5930
70.5 IPS |
|
|
Face Detection (Q)
|
100% |
4018
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8370
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8804
67.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7155
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21084
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22315
28.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21008
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4633
171.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4890
180.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3762
138.9 IPS |
|
|
Text Classification (SP)
|
100% |
2640
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4547
6.07 KIPS |
|
|
Text Classification (Q)
|
93% |
4580
6.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
792
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
710
12.2 IPS |
|
|
Machine Translation (Q)
|
98% |
698
12.1 IPS |
