iPhone 14 Pro Max
Geekbench AI Score
3552
Single Precision Score
6134
Half Precision Score
4935
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | LeeCD |
| Upload Date | October 04 2024 06:47 AM |
| Views | 8 |
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% |
1439
267.5 IPS |
|
|
Image Classification (HP)
|
100% |
2508
466.4 IPS |
|
|
Image Classification (Q)
|
96% |
1741
325.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1432
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2150
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2680
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6913
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
15161
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13056
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1576
125.0 IPS |
|
|
Object Detection (HP)
|
97% |
2931
233.4 IPS |
|
|
Object Detection (Q)
|
94% |
2056
163.9 IPS |
|
|
Face Detection (SP)
|
100% |
3072
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
6098
72.5 IPS |
|
|
Face Detection (Q)
|
100% |
3497
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6250
48.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12275
94.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8247
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18913
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28279
36.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23795
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4250
156.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5264
194.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3707
136.9 IPS |
|
|
Text Classification (SP)
|
100% |
2619
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4624
6.17 KIPS |
|
|
Text Classification (Q)
|
93% |
4584
6.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3527
60.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6111
105.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5867
101.4 IPS |
