iPhone 15 Pro Max
Geekbench AI Score
3823
Single Precision Score
6784
Half Precision Score
5436
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 08 2025 02:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1687
313.8 IPS |
|
|
Image Classification (HP)
|
100% |
2934
545.6 IPS |
|
|
Image Classification (Q)
|
96% |
2021
377.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1579
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2388
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3068
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7869
9.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
16019
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13814
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1745
138.4 IPS |
|
|
Object Detection (HP)
|
97% |
3328
265.0 IPS |
|
|
Object Detection (Q)
|
94% |
2335
186.1 IPS |
|
|
Face Detection (SP)
|
100% |
3129
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
6723
79.9 IPS |
|
|
Face Detection (Q)
|
100% |
3478
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6504
50.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13289
102.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8724
68.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19982
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32016
41.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26744
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4655
171.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5987
221.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4363
161.1 IPS |
|
|
Text Classification (SP)
|
100% |
3217
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5670
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5587
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2999
51.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5700
98.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5704
98.6 IPS |
