iPhone 14 Pro Max
Geekbench AI Score
3279
Single Precision Score
4969
Half Precision Score
4255
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | sauria |
| Upload Date | September 10 2024 03:27 PM |
| Views | 4 |
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% |
1460
271.5 IPS |
|
|
Image Classification (HP)
|
100% |
1928
358.6 IPS |
|
|
Image Classification (Q)
|
96% |
1482
276.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1256
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1234
20.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1855
30.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6383
7.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
14680
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12570
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1542
122.3 IPS |
|
|
Object Detection (HP)
|
97% |
2307
183.6 IPS |
|
|
Object Detection (Q)
|
94% |
1748
139.3 IPS |
|
|
Face Detection (SP)
|
100% |
2764
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
4571
54.3 IPS |
|
|
Face Detection (Q)
|
100% |
2861
34.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5527
42.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
8705
67.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
6563
51.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17445
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26989
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22781
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3965
146.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5093
188.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3773
139.3 IPS |
|
|
Text Classification (SP)
|
100% |
2599
3.47 KIPS |
|
|
Text Classification (HP)
|
100% |
4444
5.93 KIPS |
|
|
Text Classification (Q)
|
93% |
4414
5.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2906
50.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4686
81.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4526
78.2 IPS |
