iPhone 14 Pro Max
Geekbench AI Score
3494
Single Precision Score
6161
Half Precision Score
5020
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 04 2025 07:25 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1421
264.3 IPS |
|
|
Image Classification (HP)
|
100% |
2536
471.7 IPS |
|
|
Image Classification (Q)
|
96% |
1744
325.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1406
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2162
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2617
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6926
8.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
15569
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13204
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1531
121.4 IPS |
|
|
Object Detection (HP)
|
97% |
2857
227.4 IPS |
|
|
Object Detection (Q)
|
94% |
2051
163.4 IPS |
|
|
Face Detection (SP)
|
100% |
2828
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
5731
68.1 IPS |
|
|
Face Detection (Q)
|
100% |
3442
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6080
46.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11395
88.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7918
61.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18547
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29622
38.1 IPS |
|
|
Style Transfer (Q)
|
96% |
24473
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4130
152.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5197
191.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3877
143.2 IPS |
|
|
Text Classification (SP)
|
100% |
2709
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4901
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4840
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3591
61.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6562
113.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6577
113.7 IPS |
