iPhone 14 Pro Max
Geekbench AI Score
3531
Single Precision Score
6075
Half Precision Score
4934
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 06:36 AM |
| Views | 1 |
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% |
1411
262.4 IPS |
|
|
Image Classification (HP)
|
100% |
2517
468.1 IPS |
|
|
Image Classification (Q)
|
96% |
1736
324.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1425
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2680
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6905
8.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
15387
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12906
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1570
124.6 IPS |
|
|
Object Detection (HP)
|
97% |
2918
232.3 IPS |
|
|
Object Detection (Q)
|
94% |
2040
162.6 IPS |
|
|
Face Detection (SP)
|
100% |
3101
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6031
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3478
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6229
48.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12198
94.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8382
65.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18728
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28255
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23722
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4199
155.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5000
184.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3703
136.7 IPS |
|
|
Text Classification (SP)
|
100% |
2645
3.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4620
6.17 KIPS |
|
|
Text Classification (Q)
|
93% |
4625
6.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3449
59.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5851
101.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5900
102.0 IPS |
