iPhone 15 Pro Max
Geekbench AI Score
5043
Single Precision Score
6144
Half Precision Score
5752
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | crypt3r |
| Upload Date | September 22 2025 01:58 PM |
| Views | 4 |
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% |
1972
366.8 IPS |
|
|
Image Classification (HP)
|
100% |
2175
404.4 IPS |
|
|
Image Classification (Q)
|
96% |
2090
390.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3765
61.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4233
68.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4104
66.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13085
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
15127
17.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
14558
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2295
182.1 IPS |
|
|
Object Detection (HP)
|
100% |
2696
213.9 IPS |
|
|
Object Detection (Q)
|
92% |
2612
208.5 IPS |
|
|
Face Detection (SP)
|
100% |
6301
74.9 IPS |
|
|
Face Detection (HP)
|
100% |
8784
104.4 IPS |
|
|
Face Detection (Q)
|
100% |
6953
82.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10851
83.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12663
97.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
11402
89.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27319
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32483
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32150
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5761
212.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6220
229.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5601
206.8 IPS |
|
|
Text Classification (SP)
|
100% |
3251
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5656
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5562
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1366
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1608
27.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1532
26.5 IPS |
