iPhone 15 Pro Max
Geekbench AI Score
3870
Single Precision Score
6966
Half Precision Score
5709
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | shakal00 |
| Upload Date | September 23 2025 05:28 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1566
291.3 IPS |
|
|
Image Classification (HP)
|
100% |
2919
542.9 IPS |
|
|
Image Classification (Q)
|
96% |
2043
381.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1557
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2364
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3037
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8061
9.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
17283
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15020
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1682
133.4 IPS |
|
|
Object Detection (HP)
|
97% |
3287
261.7 IPS |
|
|
Object Detection (Q)
|
94% |
2365
188.5 IPS |
|
|
Face Detection (SP)
|
100% |
3119
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6729
80.0 IPS |
|
|
Face Detection (Q)
|
100% |
3853
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6996
53.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12756
98.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9010
70.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21685
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34378
44.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28148
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4793
177.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5797
214.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4413
163.0 IPS |
|
|
Text Classification (SP)
|
100% |
3246
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5553
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5506
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3100
53.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7231
124.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7030
121.5 IPS |
