iPhone 14 Pro Max
Geekbench AI Score
3241
Single Precision Score
4911
Half Precision Score
4243
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Rohan_C |
| Upload Date | September 16 2024 06:22 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
1466
272.6 IPS |
|
|
Image Classification (HP)
|
100% |
1929
358.7 IPS |
|
|
Image Classification (Q)
|
96% |
1470
274.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1239
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1223
19.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1838
29.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6468
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
14689
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12641
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1571
124.6 IPS |
|
|
Object Detection (HP)
|
97% |
2275
181.1 IPS |
|
|
Object Detection (Q)
|
94% |
1741
138.8 IPS |
|
|
Face Detection (SP)
|
100% |
2782
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
4518
53.7 IPS |
|
|
Face Detection (Q)
|
100% |
2912
34.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5576
43.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
8695
67.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
6542
51.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17609
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27022
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22681
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3892
143.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4825
178.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3695
136.4 IPS |
|
|
Text Classification (SP)
|
100% |
2591
3.46 KIPS |
|
|
Text Classification (HP)
|
100% |
4463
5.96 KIPS |
|
|
Text Classification (Q)
|
93% |
4381
5.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2516
43.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4532
78.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4554
78.7 IPS |
