iPhone 15 Pro Max
Geekbench AI Score
3925
Single Precision Score
6825
Half Precision Score
5602
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | pwodev |
| Upload Date | October 07 2024 12:33 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1685
313.4 IPS |
|
|
Image Classification (HP)
|
100% |
2890
537.4 IPS |
|
|
Image Classification (Q)
|
96% |
2021
377.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1600
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2368
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3073
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8025
9.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
16392
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14287
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1782
141.3 IPS |
|
|
Object Detection (HP)
|
97% |
3329
265.0 IPS |
|
|
Object Detection (Q)
|
94% |
2344
186.8 IPS |
|
|
Face Detection (SP)
|
100% |
3181
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6736
80.0 IPS |
|
|
Face Detection (Q)
|
100% |
3871
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6846
52.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13478
104.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9209
72.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21002
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32374
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27596
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4947
182.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5907
218.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4482
165.5 IPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5633
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5496
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3108
53.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6012
103.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6048
104.5 IPS |
