iPhone 14 Pro Max
Geekbench AI Score
3501
Single Precision Score
6151
Half Precision Score
5022
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | tricky |
| Upload Date | September 06 2025 05:00 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1403
261.0 IPS |
|
|
Image Classification (HP)
|
100% |
2545
473.3 IPS |
|
|
Image Classification (Q)
|
96% |
1757
328.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1445
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2119
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2619
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6615
7.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
14980
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13006
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1565
124.1 IPS |
|
|
Object Detection (HP)
|
97% |
2896
230.6 IPS |
|
|
Object Detection (Q)
|
94% |
2058
164.1 IPS |
|
|
Face Detection (SP)
|
100% |
3022
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5961
70.8 IPS |
|
|
Face Detection (Q)
|
100% |
3441
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6012
46.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11451
88.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7914
61.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18484
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29459
37.9 IPS |
|
|
Style Transfer (Q)
|
96% |
24292
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4069
150.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5128
189.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3858
142.5 IPS |
|
|
Text Classification (SP)
|
100% |
2735
3.65 KIPS |
|
|
Text Classification (HP)
|
100% |
4880
6.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4924
6.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3528
60.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6591
113.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6605
114.1 IPS |
