iPhone 14 Pro Max
Geekbench AI Score
3881
Single Precision Score
4273
Half Precision Score
3728
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 18 2024 11:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1594
296.5 IPS |
|
|
Image Classification (HP)
|
100% |
1533
285.2 IPS |
|
|
Image Classification (Q)
|
97% |
1448
270.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2312
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2505
40.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2472
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11683
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12385
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11342
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1957
155.2 IPS |
|
|
Object Detection (HP)
|
100% |
1903
151.0 IPS |
|
|
Object Detection (Q)
|
91% |
1569
125.4 IPS |
|
|
Face Detection (SP)
|
100% |
5233
62.2 IPS |
|
|
Face Detection (HP)
|
100% |
6034
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
4014
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8391
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8751
67.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7136
55.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21160
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23636
30.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21943
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4826
178.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4852
179.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3780
139.6 IPS |
|
|
Text Classification (SP)
|
100% |
2588
3.45 KIPS |
|
|
Text Classification (HP)
|
100% |
4607
6.15 KIPS |
|
|
Text Classification (Q)
|
93% |
4623
6.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
794
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
804
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
742
12.8 IPS |
