iPhone 14 Pro Max
Geekbench AI Score
3505
Single Precision Score
6083
Half Precision Score
4921
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 12:01 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% |
1409
262.1 IPS |
|
|
Image Classification (HP)
|
100% |
2570
477.9 IPS |
|
|
Image Classification (Q)
|
96% |
1749
326.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1468
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2243
36.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2672
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6706
7.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
14945
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12892
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
97% |
2909
231.6 IPS |
|
|
Object Detection (Q)
|
94% |
2041
162.7 IPS |
|
|
Face Detection (SP)
|
100% |
3008
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
6011
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
3476
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6087
46.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12079
93.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8206
64.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18830
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28336
36.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24115
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4197
155.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4919
181.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3647
134.7 IPS |
|
|
Text Classification (SP)
|
100% |
2611
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4687
6.26 KIPS |
|
|
Text Classification (Q)
|
93% |
4615
6.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3408
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5840
100.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5858
101.2 IPS |
