iPhone 15 Pro Max
Geekbench AI Score
3879
Single Precision Score
6855
Half Precision Score
5612
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | MarkusGreiner |
| Upload Date | March 12 2025 08:46 AM |
| Views | 2 |
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% |
1572
292.4 IPS |
|
|
Image Classification (HP)
|
100% |
2898
538.9 IPS |
|
|
Image Classification (Q)
|
96% |
2024
377.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1576
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2358
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3069
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7766
9.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
15988
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13886
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1755
139.2 IPS |
|
|
Object Detection (HP)
|
97% |
3312
263.7 IPS |
|
|
Object Detection (Q)
|
94% |
2339
186.4 IPS |
|
|
Face Detection (SP)
|
100% |
3094
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
6710
79.7 IPS |
|
|
Face Detection (Q)
|
100% |
3870
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6948
53.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13520
104.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9239
72.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21011
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33559
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
28000
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4848
179.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5915
218.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4400
162.5 IPS |
|
|
Text Classification (SP)
|
100% |
3247
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5705
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5673
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3218
55.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6164
106.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6153
106.3 IPS |
