iPhone 14 Pro Max
Geekbench AI Score
3938
Single Precision Score
4264
Half Precision Score
3827
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 12:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1766
328.4 IPS |
|
|
Image Classification (HP)
|
100% |
1297
241.3 IPS |
|
|
Image Classification (Q)
|
97% |
1479
276.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2261
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2536
41.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2501
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11787
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12357
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11497
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1940
153.9 IPS |
|
|
Object Detection (HP)
|
100% |
1942
154.1 IPS |
|
|
Object Detection (Q)
|
91% |
1568
125.3 IPS |
|
|
Face Detection (SP)
|
100% |
5266
62.6 IPS |
|
|
Face Detection (HP)
|
100% |
6126
72.8 IPS |
|
|
Face Detection (Q)
|
100% |
4195
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8540
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9143
70.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7541
58.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21205
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23649
30.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22209
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4814
177.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5070
187.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3926
145.0 IPS |
|
|
Text Classification (SP)
|
100% |
2698
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4731
6.31 KIPS |
|
|
Text Classification (Q)
|
93% |
4584
6.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
794
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
794
13.7 IPS |
|
|
Machine Translation (Q)
|
98% |
800
13.8 IPS |
