iPhone 14 Pro Max
Geekbench AI Score
3375
Single Precision Score
6185
Half Precision Score
5083
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | January 26 2026 05:28 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1336
248.4 IPS |
|
|
Image Classification (HP)
|
100% |
2592
482.0 IPS |
|
|
Image Classification (Q)
|
96% |
1811
338.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1357
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2667
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6414
7.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
15319
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13076
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1445
114.6 IPS |
|
|
Object Detection (HP)
|
97% |
2941
234.1 IPS |
|
|
Object Detection (Q)
|
94% |
2105
167.8 IPS |
|
|
Face Detection (SP)
|
100% |
3051
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
6009
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
3485
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5762
44.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11556
89.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8057
63.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18137
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28993
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24137
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3850
142.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5007
184.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3875
143.1 IPS |
|
|
Text Classification (SP)
|
100% |
2775
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4797
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4769
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3359
57.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6862
118.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6921
119.6 IPS |
