iPhone 14 Pro Max
Geekbench AI Score
3518
Single Precision Score
6049
Half Precision Score
4905
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Rohan_C |
| Upload Date | October 12 2024 12:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1437
267.2 IPS |
|
|
Image Classification (HP)
|
100% |
2542
472.7 IPS |
|
|
Image Classification (Q)
|
96% |
1744
325.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1431
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2140
34.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2666
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6966
8.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
14977
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12886
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1564
124.1 IPS |
|
|
Object Detection (HP)
|
97% |
2932
233.4 IPS |
|
|
Object Detection (Q)
|
94% |
2031
161.9 IPS |
|
|
Face Detection (SP)
|
100% |
3046
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
6031
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3477
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6201
47.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12084
93.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8145
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18746
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27763
35.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23428
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4099
151.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4953
182.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3679
135.8 IPS |
|
|
Text Classification (SP)
|
100% |
2633
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4723
6.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4707
6.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3395
58.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5802
100.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5777
99.8 IPS |
