iPhone 14 Pro Max
Geekbench AI Score
3524
Single Precision Score
6055
Half Precision Score
4919
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 02:41 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% |
1396
259.6 IPS |
|
|
Image Classification (HP)
|
100% |
2521
468.8 IPS |
|
|
Image Classification (Q)
|
96% |
1745
325.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1424
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2172
35.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2683
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7079
8.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
15227
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13030
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.7 IPS |
|
|
Object Detection (HP)
|
97% |
2916
232.1 IPS |
|
|
Object Detection (Q)
|
94% |
2050
163.4 IPS |
|
|
Face Detection (SP)
|
100% |
3043
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
6047
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3490
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6151
47.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12108
93.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8239
64.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18739
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28152
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23709
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4216
155.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4915
181.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3636
134.3 IPS |
|
|
Text Classification (SP)
|
100% |
2622
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4584
6.12 KIPS |
|
|
Text Classification (Q)
|
93% |
4560
6.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3427
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5870
101.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5877
101.6 IPS |
