iPhone 14 Pro Max
Geekbench AI Score
3309
Single Precision Score
4899
Half Precision Score
4088
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Rohan_C |
| Upload Date | August 15 2024 07:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1465
272.4 IPS |
|
|
Image Classification (HP)
|
100% |
1912
355.6 IPS |
|
|
Image Classification (Q)
|
99% |
1900
354.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1235
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1222
19.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
1225
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6566
7.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
14731
17.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
12559
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1578
125.2 IPS |
|
|
Object Detection (HP)
|
97% |
2281
181.6 IPS |
|
|
Object Detection (Q)
|
94% |
1739
138.6 IPS |
|
|
Face Detection (SP)
|
100% |
2787
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
4520
53.7 IPS |
|
|
Face Detection (Q)
|
100% |
2907
34.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5605
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8700
67.2 IPS |
|
|
Depth Estimation (Q)
|
96% |
4415
34.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17668
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27036
34.8 IPS |
|
|
Style Transfer (Q)
|
100% |
27257
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3892
143.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4806
177.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3627
134.4 IPS |
|
|
Text Classification (SP)
|
100% |
2569
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
4418
5.90 KIPS |
|
|
Text Classification (Q)
|
93% |
4447
5.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3048
52.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4499
77.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4549
78.6 IPS |
