iPhone 14 Pro Max
Geekbench AI Score
3857
Single Precision Score
4225
Half Precision Score
3095
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 29 2024 11:43 AM |
| Views | 2 |
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% |
1562
290.5 IPS |
|
|
Image Classification (HP)
|
100% |
1462
271.9 IPS |
|
|
Image Classification (Q)
|
99% |
1602
298.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2281
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2508
40.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
2535
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11714
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12233
14.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
11021
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1897
150.5 IPS |
|
|
Object Detection (HP)
|
100% |
1841
146.0 IPS |
|
|
Object Detection (Q)
|
91% |
1445
115.5 IPS |
|
|
Face Detection (SP)
|
100% |
5285
62.8 IPS |
|
|
Face Detection (HP)
|
100% |
6088
72.3 IPS |
|
|
Face Detection (Q)
|
100% |
4084
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8641
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9007
69.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
1075
8.31 IPS |
|
|
Style Transfer (SP)
|
100% |
20843
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23263
29.9 IPS |
|
|
Style Transfer (Q)
|
100% |
23528
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4640
171.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4627
170.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3445
127.6 IPS |
|
|
Text Classification (SP)
|
100% |
2601
3.47 KIPS |
|
|
Text Classification (HP)
|
100% |
4618
6.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4559
6.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
802
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
806
13.9 IPS |
|
|
Machine Translation (Q)
|
98% |
769
13.3 IPS |
