iPhone 14 Pro Max
Geekbench AI Score
3545
Single Precision Score
6051
Half Precision Score
4918
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 15 2024 10:43 AM |
| Views | 5 |
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% |
1433
266.4 IPS |
|
|
Image Classification (HP)
|
100% |
2493
463.7 IPS |
|
|
Image Classification (Q)
|
96% |
1732
323.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1440
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2152
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2689
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6990
8.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
15091
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13001
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
97% |
2917
232.2 IPS |
|
|
Object Detection (Q)
|
94% |
2050
163.4 IPS |
|
|
Face Detection (SP)
|
100% |
3110
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
6107
72.6 IPS |
|
|
Face Detection (Q)
|
100% |
3490
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6160
47.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12182
94.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8224
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18820
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28093
36.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23714
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4250
156.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4892
180.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3683
136.0 IPS |
|
|
Text Classification (SP)
|
100% |
2607
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4615
6.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4558
6.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3448
59.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5915
102.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5841
100.9 IPS |
