iPhone 14 Pro Max
Geekbench AI Score
4076
Single Precision Score
4506
Half Precision Score
4252
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 05:02 AM |
| Views | 5 |
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% |
1621
301.5 IPS |
|
|
Image Classification (HP)
|
100% |
1635
304.1 IPS |
|
|
Image Classification (Q)
|
96% |
1635
305.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2833
45.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2910
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2799
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11741
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12824
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12433
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1890
149.9 IPS |
|
|
Object Detection (HP)
|
100% |
1913
151.7 IPS |
|
|
Object Detection (Q)
|
92% |
1735
138.5 IPS |
|
|
Face Detection (SP)
|
100% |
5294
62.9 IPS |
|
|
Face Detection (HP)
|
100% |
6024
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
4985
59.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8522
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9065
69.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
8279
64.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21174
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
24192
31.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23586
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4717
174.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5090
188.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4245
156.7 IPS |
|
|
Text Classification (SP)
|
100% |
2687
3.59 KIPS |
|
|
Text Classification (HP)
|
99% |
4478
5.98 KIPS |
|
|
Text Classification (Q)
|
93% |
4596
6.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1026
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
983
16.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1031
17.8 IPS |
