iPhone 15 Pro Max
Geekbench AI Score
4983
Single Precision Score
5818
Half Precision Score
5462
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 07 2025 04:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1927
358.4 IPS |
|
|
Image Classification (HP)
|
100% |
1872
348.1 IPS |
|
|
Image Classification (Q)
|
96% |
1698
317.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3635
58.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4109
66.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4041
65.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13094
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
13894
16.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
13422
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2429
192.7 IPS |
|
|
Object Detection (HP)
|
100% |
2669
211.7 IPS |
|
|
Object Detection (Q)
|
92% |
2446
195.2 IPS |
|
|
Face Detection (SP)
|
100% |
6140
73.0 IPS |
|
|
Face Detection (HP)
|
100% |
8263
98.2 IPS |
|
|
Face Detection (Q)
|
100% |
6789
80.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10880
83.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
11768
90.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
10877
85.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27397
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
31550
40.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30708
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5601
206.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5853
216.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5492
202.8 IPS |
|
|
Text Classification (SP)
|
100% |
3260
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
5787
7.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5796
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1270
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1501
25.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1456
25.2 IPS |
