iPhone 14 Pro Max
Geekbench AI Score
3511
Single Precision Score
6061
Half Precision Score
4920
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 08:07 PM |
| 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% |
1443
268.3 IPS |
|
|
Image Classification (HP)
|
100% |
2480
461.1 IPS |
|
|
Image Classification (Q)
|
96% |
1718
320.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1433
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2152
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2678
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7003
8.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
15086
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12972
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (HP)
|
97% |
2923
232.7 IPS |
|
|
Object Detection (Q)
|
94% |
2048
163.2 IPS |
|
|
Face Detection (SP)
|
100% |
3017
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
6011
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
3473
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6221
47.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12156
94.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8245
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18380
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
28432
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23603
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4185
154.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4916
181.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3676
135.7 IPS |
|
|
Text Classification (SP)
|
100% |
2605
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4696
6.27 KIPS |
|
|
Text Classification (Q)
|
93% |
4692
6.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3297
56.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5928
102.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5838
100.9 IPS |
