iPhone 14 Pro Max
Geekbench AI Score
3851
Single Precision Score
4259
Half Precision Score
3754
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 23 2024 01:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1548
287.8 IPS |
|
|
Image Classification (HP)
|
100% |
1527
283.9 IPS |
|
|
Image Classification (Q)
|
97% |
1471
274.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2302
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2553
41.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2549
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11671
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12357
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11294
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1896
150.4 IPS |
|
|
Object Detection (HP)
|
100% |
1860
147.6 IPS |
|
|
Object Detection (Q)
|
91% |
1517
121.2 IPS |
|
|
Face Detection (SP)
|
100% |
5412
64.3 IPS |
|
|
Face Detection (HP)
|
100% |
6308
74.9 IPS |
|
|
Face Detection (Q)
|
100% |
4131
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8431
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8711
67.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7237
56.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20952
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23424
30.1 IPS |
|
|
Style Transfer (Q)
|
96% |
21970
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4534
167.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4608
170.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3632
134.1 IPS |
|
|
Text Classification (SP)
|
100% |
2656
3.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4583
6.12 KIPS |
|
|
Text Classification (Q)
|
93% |
4557
6.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
791
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
807
13.9 IPS |
|
|
Machine Translation (Q)
|
98% |
798
13.8 IPS |
