iPhone 15 Pro Max
Geekbench AI Score
4924
Single Precision Score
5929
Half Precision Score
5173
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 10:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1893
352.0 IPS |
|
|
Image Classification (HP)
|
100% |
2119
394.1 IPS |
|
|
Image Classification (Q)
|
97% |
1776
331.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2919
47.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3958
64.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3994
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15002
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15877
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14544
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2561
203.2 IPS |
|
|
Object Detection (HP)
|
100% |
3032
240.5 IPS |
|
|
Object Detection (Q)
|
91% |
2237
178.8 IPS |
|
|
Face Detection (SP)
|
100% |
6346
75.4 IPS |
|
|
Face Detection (HP)
|
100% |
8737
103.8 IPS |
|
|
Face Detection (Q)
|
100% |
6169
73.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11511
88.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12743
98.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
10619
83.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29875
38.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34948
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
32418
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6390
236.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6673
246.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5380
198.7 IPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5658
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5461
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
884
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
906
15.6 IPS |
|
|
Machine Translation (Q)
|
98% |
954
16.5 IPS |
