iPhone 14 Pro Max
Geekbench AI Score
3896
Single Precision Score
4245
Half Precision Score
3157
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | nuonuo |
| Upload Date | August 15 2024 10:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1691
314.5 IPS |
|
|
Image Classification (HP)
|
100% |
1475
274.3 IPS |
|
|
Image Classification (Q)
|
99% |
1589
296.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2264
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2484
40.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
2540
41.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11697
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12382
14.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
11063
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1954
155.0 IPS |
|
|
Object Detection (HP)
|
100% |
1938
153.7 IPS |
|
|
Object Detection (Q)
|
91% |
1495
119.5 IPS |
|
|
Face Detection (SP)
|
100% |
5328
63.3 IPS |
|
|
Face Detection (HP)
|
100% |
5835
69.3 IPS |
|
|
Face Detection (Q)
|
100% |
4006
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8446
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8832
68.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
1190
9.20 IPS |
|
|
Style Transfer (SP)
|
100% |
21105
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23654
30.4 IPS |
|
|
Style Transfer (Q)
|
100% |
23752
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4716
174.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4840
178.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3590
133.0 IPS |
|
|
Text Classification (SP)
|
100% |
2610
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4592
6.13 KIPS |
|
|
Text Classification (Q)
|
93% |
4608
6.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
789
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
799
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
788
13.6 IPS |
