iPhone 14 Pro Max
Geekbench AI Score
3537
Single Precision Score
6053
Half Precision Score
4944
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 12:58 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1430
265.9 IPS |
|
|
Image Classification (HP)
|
100% |
2561
476.3 IPS |
|
|
Image Classification (Q)
|
96% |
1727
322.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1440
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2166
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2682
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7100
8.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
15175
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13302
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1568
124.3 IPS |
|
|
Object Detection (HP)
|
97% |
2902
231.0 IPS |
|
|
Object Detection (Q)
|
94% |
2047
163.2 IPS |
|
|
Face Detection (SP)
|
100% |
2941
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
6024
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
3471
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6250
48.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12176
94.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8201
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18894
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28088
36.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23712
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4212
155.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4914
181.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3706
136.8 IPS |
|
|
Text Classification (SP)
|
100% |
2639
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4597
6.14 KIPS |
|
|
Text Classification (Q)
|
93% |
4550
6.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3464
59.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5814
100.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6090
105.2 IPS |
