iPhone 14 Pro Max
Geekbench AI Score
3511
Single Precision Score
6058
Half Precision Score
4903
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 11 2024 10:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1416
263.3 IPS |
|
|
Image Classification (HP)
|
100% |
2533
471.1 IPS |
|
|
Image Classification (Q)
|
96% |
1736
324.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1414
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2684
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6828
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
15013
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12808
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1575
125.0 IPS |
|
|
Object Detection (HP)
|
97% |
2925
232.9 IPS |
|
|
Object Detection (Q)
|
94% |
2042
162.8 IPS |
|
|
Face Detection (SP)
|
100% |
3022
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
6058
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
3478
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6192
47.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12096
93.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8217
64.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18703
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28106
36.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23688
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4177
154.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4857
179.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3654
134.9 IPS |
|
|
Text Classification (SP)
|
100% |
2613
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4732
6.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4562
6.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3465
59.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5859
101.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5847
101.0 IPS |
