iPhone 14 Pro Max
Geekbench AI Score
2975
Single Precision Score
3363
Half Precision Score
2968
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 07 2025 08:42 PM |
| Views | 1 |
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% |
762
141.7 IPS |
|
|
Image Classification (HP)
|
100% |
621
115.5 IPS |
|
|
Image Classification (Q)
|
96% |
993
185.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2496
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2935
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2772
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11351
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12226
14.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
7658
8.97 IPS |
|
|
Object Detection (SP)
|
100% |
1282
101.7 IPS |
|
|
Object Detection (HP)
|
100% |
1190
94.4 IPS |
|
|
Object Detection (Q)
|
92% |
869
69.4 IPS |
|
|
Face Detection (SP)
|
100% |
4807
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
5477
65.1 IPS |
|
|
Face Detection (Q)
|
100% |
4006
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6096
47.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8669
66.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6438
50.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20653
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
23044
29.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22520
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3382
124.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3277
121.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2893
106.8 IPS |
|
|
Text Classification (SP)
|
100% |
1238
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
2210
2.95 KIPS |
|
|
Text Classification (Q)
|
93% |
2166
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
775
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
881
15.2 IPS |
|
|
Machine Translation (Q)
|
98% |
797
13.8 IPS |
