iPhone 15 Pro Max
Geekbench AI Score
3828
Single Precision Score
6835
Half Precision Score
5569
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 02:46 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.7 |
| 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% |
1665
309.7 IPS |
|
|
Image Classification (HP)
|
100% |
3013
560.3 IPS |
|
|
Image Classification (Q)
|
96% |
2048
382.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1570
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2328
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3015
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7626
8.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
15697
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13656
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1702
135.0 IPS |
|
|
Object Detection (HP)
|
97% |
3258
259.4 IPS |
|
|
Object Detection (Q)
|
94% |
2273
181.2 IPS |
|
|
Face Detection (SP)
|
100% |
3100
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
6589
78.3 IPS |
|
|
Face Detection (Q)
|
100% |
3700
44.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6709
51.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12721
98.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8744
68.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20219
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32836
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26577
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4599
169.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5684
209.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4358
160.9 IPS |
|
|
Text Classification (SP)
|
100% |
3269
4.36 KIPS |
|
|
Text Classification (HP)
|
100% |
5771
7.70 KIPS |
|
|
Text Classification (Q)
|
93% |
5826
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3157
54.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6872
118.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6864
118.6 IPS |
