iPhone 14 Pro Max
Geekbench AI Score
3861
Single Precision Score
4278
Half Precision Score
3763
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 07:31 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1539
286.1 IPS |
|
|
Image Classification (HP)
|
100% |
1455
270.7 IPS |
|
|
Image Classification (Q)
|
97% |
1468
273.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2265
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2538
41.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2500
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11739
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12368
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11509
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1976
156.7 IPS |
|
|
Object Detection (HP)
|
100% |
1973
156.5 IPS |
|
|
Object Detection (Q)
|
91% |
1591
127.2 IPS |
|
|
Face Detection (SP)
|
100% |
5124
60.9 IPS |
|
|
Face Detection (HP)
|
100% |
5966
70.9 IPS |
|
|
Face Detection (Q)
|
100% |
4150
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8404
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9051
69.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7103
55.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21248
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23745
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22116
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4783
176.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4777
176.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3758
138.8 IPS |
|
|
Text Classification (SP)
|
100% |
2615
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4607
6.15 KIPS |
|
|
Text Classification (Q)
|
93% |
4678
6.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
797
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
808
13.9 IPS |
|
|
Machine Translation (Q)
|
98% |
741
12.8 IPS |
