iPhone 14 Pro Max
Geekbench AI Score
3525
Single Precision Score
6178
Half Precision Score
5019
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | RDNewman |
| Upload Date | June 02 2025 12:05 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1432
266.3 IPS |
|
|
Image Classification (HP)
|
100% |
2562
476.5 IPS |
|
|
Image Classification (Q)
|
96% |
1748
326.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1398
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2618
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7029
8.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
15483
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13214
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1571
124.6 IPS |
|
|
Object Detection (HP)
|
97% |
2905
231.3 IPS |
|
|
Object Detection (Q)
|
94% |
2052
163.5 IPS |
|
|
Face Detection (SP)
|
100% |
2982
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
5955
70.8 IPS |
|
|
Face Detection (Q)
|
100% |
3447
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6083
46.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11485
88.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7928
62.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18953
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29646
38.1 IPS |
|
|
Style Transfer (Q)
|
96% |
24403
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4099
151.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5165
190.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3852
142.2 IPS |
|
|
Text Classification (SP)
|
100% |
2718
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4883
6.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4817
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3503
60.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6478
111.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6616
114.3 IPS |
