iPhone 14 Pro Max
Geekbench AI Score
4112
Single Precision Score
4541
Half Precision Score
4234
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | RDNewman |
| Upload Date | June 02 2025 12:12 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1609
299.3 IPS |
|
|
Image Classification (HP)
|
100% |
1609
299.2 IPS |
|
|
Image Classification (Q)
|
96% |
1662
310.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2849
46.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2921
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2785
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11744
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12441
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
11969
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1961
155.5 IPS |
|
|
Object Detection (HP)
|
100% |
1881
149.2 IPS |
|
|
Object Detection (Q)
|
92% |
1727
137.9 IPS |
|
|
Face Detection (SP)
|
100% |
5331
63.3 IPS |
|
|
Face Detection (HP)
|
100% |
6119
72.7 IPS |
|
|
Face Detection (Q)
|
100% |
5110
60.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8634
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8898
68.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8159
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21232
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23859
30.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23255
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4786
176.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4992
184.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4212
155.5 IPS |
|
|
Text Classification (SP)
|
100% |
2697
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4846
6.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4814
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1038
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1081
18.6 IPS |
|
|
Machine Translation (Q)
|
98% |
985
17.0 IPS |
