iPhone 15 Pro Max
Geekbench AI Score
3520
Single Precision Score
6468
Half Precision Score
5278
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 11 2025 07:09 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| Model | iPhone 15 Pro Max |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1461
271.6 IPS |
|
|
Image Classification (HP)
|
100% |
2903
539.8 IPS |
|
|
Image Classification (Q)
|
96% |
1991
371.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1510
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2243
36.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2794
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6740
7.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
13853
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12246
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1651
130.9 IPS |
|
|
Object Detection (HP)
|
97% |
3139
249.9 IPS |
|
|
Object Detection (Q)
|
94% |
2258
180.0 IPS |
|
|
Face Detection (SP)
|
100% |
2963
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
6311
75.0 IPS |
|
|
Face Detection (Q)
|
100% |
3486
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6128
47.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11842
91.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8353
65.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18512
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
30431
39.1 IPS |
|
|
Style Transfer (Q)
|
96% |
25470
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4129
152.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5594
206.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4157
153.5 IPS |
|
|
Text Classification (SP)
|
100% |
2952
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5191
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5102
6.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2905
50.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6859
118.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6937
119.9 IPS |
