iPhone 14 Pro Max
Geekbench AI Score
3522
Single Precision Score
6170
Half Precision Score
5009
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Mobilexperts |
| Upload Date | May 29 2025 12:55 PM |
| Views | 5 |
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% |
1430
266.0 IPS |
|
|
Image Classification (HP)
|
100% |
2559
475.8 IPS |
|
|
Image Classification (Q)
|
96% |
1752
327.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1398
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2113
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2615
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7055
8.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
15560
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13277
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1571
124.6 IPS |
|
|
Object Detection (HP)
|
97% |
2896
230.5 IPS |
|
|
Object Detection (Q)
|
94% |
2054
163.7 IPS |
|
|
Face Detection (SP)
|
100% |
2963
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
5956
70.8 IPS |
|
|
Face Detection (Q)
|
100% |
3448
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6089
46.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11515
89.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7947
62.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19027
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29695
38.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24455
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4111
151.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5140
189.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3850
142.2 IPS |
|
|
Text Classification (SP)
|
100% |
2676
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4778
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4748
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3512
60.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6569
113.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6498
112.3 IPS |
