iPhone 15 Pro Max
Geekbench AI Score
3875
Single Precision Score
6789
Half Precision Score
5528
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 30 2025 10:19 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% |
1702
316.5 IPS |
|
|
Image Classification (HP)
|
100% |
2948
548.3 IPS |
|
|
Image Classification (Q)
|
96% |
2018
376.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1661
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2562
41.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3064
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7752
9.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
15893
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13910
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1761
139.7 IPS |
|
|
Object Detection (HP)
|
97% |
3333
265.3 IPS |
|
|
Object Detection (Q)
|
94% |
2342
186.7 IPS |
|
|
Face Detection (SP)
|
100% |
3086
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
6696
79.6 IPS |
|
|
Face Detection (Q)
|
100% |
3813
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6785
52.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
13267
102.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9088
71.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20449
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31519
40.5 IPS |
|
|
Style Transfer (Q)
|
96% |
26797
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4672
172.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5648
208.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4305
159.0 IPS |
|
|
Text Classification (SP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5522
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5523
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3099
53.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5954
102.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5995
103.6 IPS |
