iPhone 14 Pro Max
Geekbench AI Score
4222
Single Precision Score
4622
Half Precision Score
4342
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 12:00 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1826
339.6 IPS |
|
|
Image Classification (HP)
|
100% |
1751
325.7 IPS |
|
|
Image Classification (Q)
|
96% |
1677
313.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2895
46.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2936
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2821
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11767
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12857
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12443
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1922
152.5 IPS |
|
|
Object Detection (HP)
|
100% |
1929
153.0 IPS |
|
|
Object Detection (Q)
|
92% |
1727
137.9 IPS |
|
|
Face Detection (SP)
|
100% |
5592
66.4 IPS |
|
|
Face Detection (HP)
|
100% |
6211
73.8 IPS |
|
|
Face Detection (Q)
|
100% |
5130
61.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8578
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9163
70.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
8325
65.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21431
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
23772
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23737
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4838
178.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5123
189.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4352
160.7 IPS |
|
|
Text Classification (SP)
|
100% |
2813
3.75 KIPS |
|
|
Text Classification (HP)
|
99% |
4851
6.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4859
6.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1076
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1038
17.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1093
18.9 IPS |
