iPhone 14 Pro Max
Geekbench AI Score
3508
Single Precision Score
6236
Half Precision Score
5020
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 22 2025 02:42 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1362
253.3 IPS |
|
|
Image Classification (HP)
|
100% |
2566
477.2 IPS |
|
|
Image Classification (Q)
|
96% |
1752
327.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1435
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2202
35.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2624
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6911
8.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
15451
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13161
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1572
124.7 IPS |
|
|
Object Detection (HP)
|
97% |
2896
230.5 IPS |
|
|
Object Detection (Q)
|
94% |
2057
164.0 IPS |
|
|
Face Detection (SP)
|
100% |
2977
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
5955
70.8 IPS |
|
|
Face Detection (Q)
|
100% |
3470
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6093
46.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11501
88.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7922
61.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18841
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29578
38.0 IPS |
|
|
Style Transfer (Q)
|
96% |
24354
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4122
152.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5420
200.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3852
142.2 IPS |
|
|
Text Classification (SP)
|
100% |
2706
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4855
6.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4831
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3495
60.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6606
114.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6561
113.4 IPS |
