iPhone 15 Pro Max
Geekbench AI Score
3771
Single Precision Score
6806
Half Precision Score
5520
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 03 2025 08:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1584
294.5 IPS |
|
|
Image Classification (HP)
|
100% |
2966
551.6 IPS |
|
|
Image Classification (Q)
|
96% |
2024
378.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1574
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2335
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2982
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7192
8.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
14986
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13014
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1727
137.0 IPS |
|
|
Object Detection (HP)
|
97% |
3300
262.7 IPS |
|
|
Object Detection (Q)
|
94% |
2262
180.3 IPS |
|
|
Face Detection (SP)
|
100% |
3091
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
6578
78.2 IPS |
|
|
Face Detection (Q)
|
100% |
3674
43.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6642
51.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12797
98.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8732
68.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20245
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32917
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
26792
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4689
173.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5858
216.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4411
162.9 IPS |
|
|
Text Classification (SP)
|
100% |
3315
4.42 KIPS |
|
|
Text Classification (HP)
|
100% |
5803
7.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5919
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2913
50.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6615
114.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6597
114.0 IPS |
