iPhone 14 Pro Max
Geekbench AI Score
3521
Single Precision Score
6026
Half Precision Score
4901
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 18 2024 11:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1383
257.2 IPS |
|
|
Image Classification (HP)
|
100% |
2522
469.0 IPS |
|
|
Image Classification (Q)
|
96% |
1728
322.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1438
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2690
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6811
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
15033
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12778
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1563
123.9 IPS |
|
|
Object Detection (HP)
|
97% |
2912
231.8 IPS |
|
|
Object Detection (Q)
|
94% |
2045
163.0 IPS |
|
|
Face Detection (SP)
|
100% |
3120
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6035
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3466
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6133
47.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12143
93.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8197
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18727
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28045
36.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23649
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4248
156.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4877
180.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3690
136.2 IPS |
|
|
Text Classification (SP)
|
100% |
2606
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4560
6.09 KIPS |
|
|
Text Classification (Q)
|
93% |
4525
6.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3488
60.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5831
100.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5869
101.4 IPS |
