iPhone 14 Pro Max
Geekbench AI Score
3469
Single Precision Score
6062
Half Precision Score
4893
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 11:37 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1437
267.3 IPS |
|
|
Image Classification (HP)
|
100% |
2548
473.9 IPS |
|
|
Image Classification (Q)
|
96% |
1761
328.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1471
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2603
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6396
7.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
14526
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12378
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1512
120.0 IPS |
|
|
Object Detection (HP)
|
97% |
2907
231.4 IPS |
|
|
Object Detection (Q)
|
94% |
2070
165.0 IPS |
|
|
Face Detection (SP)
|
100% |
2943
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
6002
71.3 IPS |
|
|
Face Detection (Q)
|
100% |
3439
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6089
46.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12015
92.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8200
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18220
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28479
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23216
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4061
150.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5212
192.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3705
136.8 IPS |
|
|
Text Classification (SP)
|
100% |
2662
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4709
6.29 KIPS |
|
|
Text Classification (Q)
|
93% |
4750
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3503
60.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5786
100.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5821
100.6 IPS |
