iPhone 14 Pro Max
Geekbench AI Score
3527
Single Precision Score
6195
Half Precision Score
5029
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 03:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1414
263.0 IPS |
|
|
Image Classification (HP)
|
100% |
2545
473.4 IPS |
|
|
Image Classification (Q)
|
96% |
1750
326.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1399
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2105
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2628
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7054
8.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
15880
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13312
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1578
125.1 IPS |
|
|
Object Detection (HP)
|
97% |
2900
230.9 IPS |
|
|
Object Detection (Q)
|
94% |
2055
163.8 IPS |
|
|
Face Detection (SP)
|
100% |
2988
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
5972
71.0 IPS |
|
|
Face Detection (Q)
|
100% |
3447
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6126
47.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11624
89.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7911
61.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19095
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29677
38.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24441
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4105
151.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5105
188.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3876
143.1 IPS |
|
|
Text Classification (SP)
|
100% |
2678
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4841
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4812
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3526
60.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6636
114.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6621
114.4 IPS |
