iPhone 14 Pro Max
Geekbench AI Score
3417
Single Precision Score
6221
Half Precision Score
5113
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Ramonndafonseca |
| Upload Date | October 19 2025 02:35 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1317
244.9 IPS |
|
|
Image Classification (HP)
|
100% |
2601
483.6 IPS |
|
|
Image Classification (Q)
|
96% |
1812
338.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1371
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2663
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6574
7.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
15405
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13296
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1456
115.5 IPS |
|
|
Object Detection (HP)
|
97% |
2939
233.9 IPS |
|
|
Object Detection (Q)
|
94% |
2124
169.3 IPS |
|
|
Face Detection (SP)
|
100% |
3136
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6050
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
3489
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5935
45.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11607
89.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8094
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18671
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29102
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24236
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3859
142.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5092
188.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3912
144.4 IPS |
|
|
Text Classification (SP)
|
100% |
2764
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4855
6.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4841
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3388
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6903
119.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6923
119.6 IPS |
