iPhone 15 Pro Max
Geekbench AI Score
4965
Single Precision Score
6072
Half Precision Score
5640
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Fabianlozano |
| Upload Date | August 09 2025 01:39 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1817
338.0 IPS |
|
|
Image Classification (HP)
|
100% |
1985
369.2 IPS |
|
|
Image Classification (Q)
|
96% |
2002
373.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3696
59.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4227
68.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4072
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12761
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
15096
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14698
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2311
183.3 IPS |
|
|
Object Detection (HP)
|
100% |
2643
209.7 IPS |
|
|
Object Detection (Q)
|
92% |
2504
199.9 IPS |
|
|
Face Detection (SP)
|
100% |
6487
77.1 IPS |
|
|
Face Detection (HP)
|
100% |
9311
110.6 IPS |
|
|
Face Detection (Q)
|
100% |
7411
88.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11335
87.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12982
100.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
11920
93.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27166
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33080
42.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31361
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5546
204.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6120
226.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5109
188.6 IPS |
|
|
Text Classification (SP)
|
100% |
3214
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5576
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5606
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1291
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1492
25.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1370
23.7 IPS |
