iPhone 14 Pro Max
Geekbench AI Score
3421
Single Precision Score
6220
Half Precision Score
5096
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 07:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1345
250.0 IPS |
|
|
Image Classification (HP)
|
100% |
2592
482.0 IPS |
|
|
Image Classification (Q)
|
96% |
1806
337.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1371
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2113
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2668
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6579
7.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
15457
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13257
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1469
116.5 IPS |
|
|
Object Detection (HP)
|
97% |
2947
234.6 IPS |
|
|
Object Detection (Q)
|
94% |
2104
167.7 IPS |
|
|
Face Detection (SP)
|
100% |
3077
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
6070
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
3488
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5931
45.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11597
89.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8093
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18630
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29142
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24262
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3852
142.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5027
185.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3899
144.0 IPS |
|
|
Text Classification (SP)
|
100% |
2778
3.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4821
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4731
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3394
58.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6996
120.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6960
120.3 IPS |
