iPhone 14 Pro Max
Geekbench AI Score
4157
Single Precision Score
4570
Half Precision Score
4302
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 07:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1650
306.8 IPS |
|
|
Image Classification (HP)
|
100% |
1586
294.9 IPS |
|
|
Image Classification (Q)
|
96% |
1643
306.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2892
46.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2992
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2888
46.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11721
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12786
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12488
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1925
152.7 IPS |
|
|
Object Detection (HP)
|
100% |
1923
152.5 IPS |
|
|
Object Detection (Q)
|
92% |
1755
140.1 IPS |
|
|
Face Detection (SP)
|
100% |
5261
62.5 IPS |
|
|
Face Detection (HP)
|
100% |
6142
73.0 IPS |
|
|
Face Detection (Q)
|
100% |
5076
60.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8547
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9037
69.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
8362
65.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21181
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
24246
31.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23630
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4791
176.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5015
185.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4367
161.2 IPS |
|
|
Text Classification (SP)
|
100% |
2791
3.73 KIPS |
|
|
Text Classification (HP)
|
99% |
4773
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4712
6.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1125
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1058
18.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1013
17.5 IPS |
