iPhone 14 Pro Max
Geekbench AI Score
3500
Single Precision Score
6154
Half Precision Score
5028
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 21 2025 04:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1408
261.9 IPS |
|
|
Image Classification (HP)
|
100% |
2545
473.3 IPS |
|
|
Image Classification (Q)
|
96% |
1759
328.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1385
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2631
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6779
7.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
15461
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13214
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1561
123.8 IPS |
|
|
Object Detection (HP)
|
97% |
2898
230.7 IPS |
|
|
Object Detection (Q)
|
94% |
2061
164.3 IPS |
|
|
Face Detection (SP)
|
100% |
3022
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5968
70.9 IPS |
|
|
Face Detection (Q)
|
100% |
3446
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6085
46.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11539
89.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7998
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18604
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29755
38.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24529
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4160
153.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5112
188.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3889
143.6 IPS |
|
|
Text Classification (SP)
|
100% |
2671
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4769
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4742
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3524
60.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6501
112.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6582
113.7 IPS |
