iPhone 14 Pro Max
Geekbench AI Score
3866
Single Precision Score
4233
Half Precision Score
3682
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Ramonndafonseca |
| Upload Date | October 27 2024 03:54 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1636
304.2 IPS |
|
|
Image Classification (HP)
|
100% |
1433
266.5 IPS |
|
|
Image Classification (Q)
|
97% |
1356
253.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2244
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2517
40.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2480
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11668
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12312
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11314
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1914
151.8 IPS |
|
|
Object Detection (HP)
|
100% |
1882
149.3 IPS |
|
|
Object Detection (Q)
|
91% |
1484
118.6 IPS |
|
|
Face Detection (SP)
|
100% |
5312
63.1 IPS |
|
|
Face Detection (HP)
|
100% |
5968
70.9 IPS |
|
|
Face Detection (Q)
|
100% |
4121
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8380
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8736
67.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6782
53.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21155
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23727
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21993
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4731
174.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4890
180.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3725
137.5 IPS |
|
|
Text Classification (SP)
|
100% |
2606
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4547
6.07 KIPS |
|
|
Text Classification (Q)
|
93% |
4599
6.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
784
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
804
13.9 IPS |
|
|
Machine Translation (Q)
|
98% |
772
13.3 IPS |
