iPhone 14 Pro Max
Geekbench AI Score
3546
Single Precision Score
6101
Half Precision Score
4967
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 12:45 AM |
| Views | 2 |
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% |
1418
263.8 IPS |
|
|
Image Classification (HP)
|
100% |
2564
476.8 IPS |
|
|
Image Classification (Q)
|
96% |
1764
329.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1450
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2150
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2686
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7044
8.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
15133
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13221
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1574
124.9 IPS |
|
|
Object Detection (HP)
|
97% |
2911
231.7 IPS |
|
|
Object Detection (Q)
|
94% |
2047
163.1 IPS |
|
|
Face Detection (SP)
|
100% |
3055
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
6061
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
3475
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6191
47.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12343
95.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8370
65.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18850
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28323
36.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23675
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4224
156.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4994
184.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3752
138.6 IPS |
|
|
Text Classification (SP)
|
100% |
2673
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4756
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4742
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3430
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5850
101.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5822
100.6 IPS |
