iPhone 14 Pro Max
Geekbench AI Score
4153
Single Precision Score
4605
Half Precision Score
4276
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 10 2025 11:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1711
318.2 IPS |
|
|
Image Classification (HP)
|
100% |
1603
298.1 IPS |
|
|
Image Classification (Q)
|
96% |
1628
303.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2857
46.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2927
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2806
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11682
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12860
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12435
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1992
158.0 IPS |
|
|
Object Detection (HP)
|
100% |
1998
158.5 IPS |
|
|
Object Detection (Q)
|
92% |
1765
140.9 IPS |
|
|
Face Detection (SP)
|
100% |
5467
65.0 IPS |
|
|
Face Detection (HP)
|
100% |
6156
73.1 IPS |
|
|
Face Detection (Q)
|
100% |
5111
60.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8489
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9061
69.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
8272
64.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21315
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24135
31.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23518
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4837
178.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5048
186.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4245
156.7 IPS |
|
|
Text Classification (SP)
|
100% |
2695
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4590
6.13 KIPS |
|
|
Text Classification (Q)
|
93% |
4564
6.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1042
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1141
19.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1059
18.3 IPS |
