iPhone 14 Pro Max
Geekbench AI Score
4165
Single Precision Score
4582
Half Precision Score
4282
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | RDNewman |
| Upload Date | April 20 2025 02:11 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1720
319.8 IPS |
|
|
Image Classification (HP)
|
100% |
1653
307.4 IPS |
|
|
Image Classification (Q)
|
96% |
1661
310.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2899
47.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2894
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2801
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11824
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12592
14.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
11954
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1990
157.9 IPS |
|
|
Object Detection (HP)
|
100% |
1965
155.9 IPS |
|
|
Object Detection (Q)
|
92% |
1735
138.5 IPS |
|
|
Face Detection (SP)
|
100% |
5341
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
6026
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
5125
60.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8529
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8858
68.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8155
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21215
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23558
30.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23346
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4772
176.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4905
181.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4235
156.4 IPS |
|
|
Text Classification (SP)
|
100% |
2707
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4878
6.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4839
6.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1073
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1147
19.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1076
18.6 IPS |
