iPhone 14 Pro Max
Geekbench AI Score
3899
Single Precision Score
4229
Half Precision Score
3117
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 16 2024 12:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1684
313.2 IPS |
|
|
Image Classification (HP)
|
100% |
1519
282.5 IPS |
|
|
Image Classification (Q)
|
99% |
1631
304.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2242
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2520
40.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
2531
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11716
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12331
14.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
11043
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1962
155.6 IPS |
|
|
Object Detection (HP)
|
100% |
1824
144.7 IPS |
|
|
Object Detection (Q)
|
91% |
1474
117.8 IPS |
|
|
Face Detection (SP)
|
100% |
5291
62.9 IPS |
|
|
Face Detection (HP)
|
100% |
5802
68.9 IPS |
|
|
Face Detection (Q)
|
100% |
3959
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8440
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8695
67.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
1075
8.31 IPS |
|
|
Style Transfer (SP)
|
100% |
21170
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23707
30.5 IPS |
|
|
Style Transfer (Q)
|
100% |
23647
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4705
173.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4825
178.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3564
132.0 IPS |
|
|
Text Classification (SP)
|
100% |
2628
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4582
6.12 KIPS |
|
|
Text Classification (Q)
|
93% |
4686
6.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
802
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
805
13.9 IPS |
|
|
Machine Translation (Q)
|
98% |
767
13.2 IPS |
