iPhone 14 Pro Max
Geekbench AI Score
3523
Single Precision Score
6192
Half Precision Score
5031
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 21 2025 08:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1380
256.6 IPS |
|
|
Image Classification (HP)
|
100% |
2570
478.0 IPS |
|
|
Image Classification (Q)
|
96% |
1759
328.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1458
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2189
35.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2637
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6941
8.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
15550
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13197
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1575
124.9 IPS |
|
|
Object Detection (HP)
|
97% |
2885
229.7 IPS |
|
|
Object Detection (Q)
|
94% |
2055
163.8 IPS |
|
|
Face Detection (SP)
|
100% |
2973
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
5971
71.0 IPS |
|
|
Face Detection (Q)
|
100% |
3449
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6095
47.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11177
86.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8041
62.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18718
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29665
38.1 IPS |
|
|
Style Transfer (Q)
|
96% |
24462
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4243
156.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5342
197.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3890
143.6 IPS |
|
|
Text Classification (SP)
|
100% |
2687
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4772
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4767
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3468
59.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6505
112.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6565
113.5 IPS |
