iPhone 14 Pro Max
Geekbench AI Score
3539
Single Precision Score
22393
Half Precision Score
25208
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 11:30 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1423
264.7 IPS |
|
|
Image Classification (HP)
|
100% |
9726
1.81 KIPS |
|
|
Image Classification (Q)
|
97% |
11797
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1464
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13331
216.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
17676
286.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6864
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
96846
113.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
101371
118.8 IPS |
|
|
Object Detection (SP)
|
100% |
1582
125.5 IPS |
|
|
Object Detection (HP)
|
100% |
12994
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14608
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3064
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
29774
353.8 IPS |
|
|
Face Detection (Q)
|
100% |
38984
463.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6211
47.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
75319
580.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
96751
756.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18960
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
166262
213.7 IPS |
|
|
Style Transfer (Q)
|
96% |
169703
219.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4240
156.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33809
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37223
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
2612
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2064
2.76 KIPS |
|
|
Text Classification (Q)
|
93% |
1722
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3415
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7470
128.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8179
141.4 IPS |
