iPhone 14 Pro Max
Geekbench AI Score
3531
Single Precision Score
21658
Half Precision Score
24977
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Bormot |
| Upload Date | December 06 2024 11:06 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1443
268.3 IPS |
|
|
Image Classification (HP)
|
100% |
10165
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
12671
2.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1437
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13661
221.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
18111
293.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6815
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
96023
112.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
101528
119.0 IPS |
|
|
Object Detection (SP)
|
100% |
1575
124.9 IPS |
|
|
Object Detection (HP)
|
100% |
12814
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14606
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3049
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
29787
353.9 IPS |
|
|
Face Detection (Q)
|
100% |
39060
464.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6292
48.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
74605
574.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
95998
750.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18786
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
166509
214.0 IPS |
|
|
Style Transfer (Q)
|
96% |
166409
214.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4209
155.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32001
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36218
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
2616
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
1947
2.60 KIPS |
|
|
Text Classification (Q)
|
93% |
2111
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3417
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5765
99.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5822
100.6 IPS |
