iPhone 15 Pro Max
Geekbench AI Score
3992
Single Precision Score
6879
Half Precision Score
5631
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Phizzle |
| Upload Date | February 13 2025 07:57 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1705
317.1 IPS |
|
|
Image Classification (HP)
|
100% |
2926
544.2 IPS |
|
|
Image Classification (Q)
|
96% |
2008
374.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1601
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2394
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3086
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8442
9.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
16897
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14673
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1780
141.2 IPS |
|
|
Object Detection (HP)
|
97% |
3356
267.2 IPS |
|
|
Object Detection (Q)
|
94% |
2368
188.8 IPS |
|
|
Face Detection (SP)
|
100% |
3190
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6790
80.7 IPS |
|
|
Face Detection (Q)
|
100% |
3885
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7128
54.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
13595
105.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9404
73.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21626
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32795
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27595
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5078
187.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5828
215.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4409
162.8 IPS |
|
|
Text Classification (SP)
|
100% |
3221
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
5601
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5531
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3122
53.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6045
104.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6063
104.8 IPS |
