iPhone 14 Pro Max
Geekbench AI Score
3509
Single Precision Score
6030
Half Precision Score
4918
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 06:10 PM |
| Views | 1 |
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% |
1404
261.1 IPS |
|
|
Image Classification (HP)
|
100% |
2523
469.2 IPS |
|
|
Image Classification (Q)
|
96% |
1739
324.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1425
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2164
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2681
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6955
8.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
15106
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12939
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.6 IPS |
|
|
Object Detection (HP)
|
97% |
2909
231.6 IPS |
|
|
Object Detection (Q)
|
94% |
2044
162.9 IPS |
|
|
Face Detection (SP)
|
100% |
2956
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
6031
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3489
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6123
47.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12125
93.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8195
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18903
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27995
36.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23648
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4181
154.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4836
178.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3655
135.0 IPS |
|
|
Text Classification (SP)
|
100% |
2617
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4612
6.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4609
6.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3434
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5806
100.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5897
101.9 IPS |
