iPhone 14 Pro Max
Geekbench AI Score
3491
Single Precision Score
6062
Half Precision Score
4913
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 26 2025 08:33 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1368
254.4 IPS |
|
|
Image Classification (HP)
|
100% |
2502
465.3 IPS |
|
|
Image Classification (Q)
|
96% |
1743
325.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1426
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2167
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2682
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6706
7.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
14899
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12749
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1561
123.8 IPS |
|
|
Object Detection (HP)
|
97% |
2910
231.6 IPS |
|
|
Object Detection (Q)
|
94% |
2049
163.3 IPS |
|
|
Face Detection (SP)
|
100% |
3072
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
6034
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3483
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6037
46.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12175
94.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8203
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18664
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28254
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23619
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4194
154.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4906
181.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3645
134.6 IPS |
|
|
Text Classification (SP)
|
100% |
2661
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4744
6.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4684
6.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3414
58.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5903
102.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5829
100.7 IPS |
