iPhone 14 Pro Max
Geekbench AI Score
1104
Single Precision Score
2271
Half Precision Score
1906
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | February 13 2026 07:56 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
457
85.0 IPS |
|
|
Image Classification (HP)
|
100% |
951
176.8 IPS |
|
|
Image Classification (Q)
|
96% |
920
171.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
364
5.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
622
10.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
744
12.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2287
2.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
6480
7.56 IPS |
|
|
Pose Estimation (Q)
|
95% |
7568
8.87 IPS |
|
|
Object Detection (SP)
|
100% |
467
37.0 IPS |
|
|
Object Detection (HP)
|
97% |
1354
107.8 IPS |
|
|
Object Detection (Q)
|
94% |
985
78.5 IPS |
|
|
Face Detection (SP)
|
100% |
1082
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
2094
24.9 IPS |
|
|
Face Detection (Q)
|
100% |
1220
14.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2517
19.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3580
27.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
2734
21.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7659
9.85 IPS |
|
|
Style Transfer (HP)
|
100% |
8709
11.2 IPS |
|
|
Style Transfer (Q)
|
96% |
6773
8.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1198
44.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2439
90.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1355
50.0 IPS |
|
|
Text Classification (SP)
|
100% |
587
783.6 IPS |
|
|
Text Classification (HP)
|
99% |
1740
2.32 KIPS |
|
|
Text Classification (Q)
|
93% |
2103
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1038
17.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2539
43.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1935
33.4 IPS |
