iPhone 14 Pro Max
Geekbench AI Score
3522
Single Precision Score
6083
Half Precision Score
4919
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Rohan_C |
| Upload Date | September 17 2024 10:32 AM |
| Views | 3 |
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% |
1417
263.6 IPS |
|
|
Image Classification (HP)
|
100% |
2510
466.8 IPS |
|
|
Image Classification (Q)
|
96% |
1737
324.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1435
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2681
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6938
8.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
15044
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12932
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1561
123.8 IPS |
|
|
Object Detection (HP)
|
97% |
2907
231.4 IPS |
|
|
Object Detection (Q)
|
94% |
2051
163.4 IPS |
|
|
Face Detection (SP)
|
100% |
3003
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
6033
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3478
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6193
47.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12104
93.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8213
64.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18812
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28305
36.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23681
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4159
153.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5187
191.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3695
136.5 IPS |
|
|
Text Classification (SP)
|
100% |
2648
3.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4670
6.23 KIPS |
|
|
Text Classification (Q)
|
93% |
4612
6.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3470
59.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5853
101.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5831
100.8 IPS |
