iPhone 14 Pro Max
Geekbench AI Score
3245
Single Precision Score
4889
Half Precision Score
4224
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | RDNewman |
| Upload Date | October 14 2024 09:05 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 5.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1458
271.2 IPS |
|
|
Image Classification (HP)
|
100% |
1897
352.8 IPS |
|
|
Image Classification (Q)
|
96% |
1464
273.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1247
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1227
19.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1843
29.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6452
7.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
14636
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12570
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
97% |
2267
180.4 IPS |
|
|
Object Detection (Q)
|
94% |
1734
138.2 IPS |
|
|
Face Detection (SP)
|
100% |
2775
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
4493
53.4 IPS |
|
|
Face Detection (Q)
|
100% |
2904
34.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5555
42.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
8669
67.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
6545
51.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17544
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26960
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22599
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3860
142.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4797
177.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3691
136.3 IPS |
|
|
Text Classification (SP)
|
100% |
2579
3.44 KIPS |
|
|
Text Classification (HP)
|
100% |
4413
5.89 KIPS |
|
|
Text Classification (Q)
|
93% |
4351
5.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2601
44.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4550
78.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4463
77.1 IPS |
