iPhone 14 Pro Max
Geekbench AI Score
4126
Single Precision Score
4581
Half Precision Score
4341
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 03:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1669
310.3 IPS |
|
|
Image Classification (HP)
|
100% |
1716
319.2 IPS |
|
|
Image Classification (Q)
|
96% |
1678
313.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2840
46.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2965
48.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2829
45.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11700
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12823
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12436
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1920
152.3 IPS |
|
|
Object Detection (HP)
|
100% |
1941
154.0 IPS |
|
|
Object Detection (Q)
|
92% |
1756
140.1 IPS |
|
|
Face Detection (SP)
|
100% |
5155
61.3 IPS |
|
|
Face Detection (HP)
|
100% |
6206
73.7 IPS |
|
|
Face Detection (Q)
|
100% |
5124
60.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8583
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9031
69.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
8270
64.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21259
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
24071
30.9 IPS |
|
|
Style Transfer (Q)
|
96% |
23549
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4820
178.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4979
183.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4343
160.4 IPS |
|
|
Text Classification (SP)
|
100% |
2758
3.68 KIPS |
|
|
Text Classification (HP)
|
99% |
4729
6.31 KIPS |
|
|
Text Classification (Q)
|
93% |
4696
6.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1076
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1128
19.5 IPS |
