iPhone 15 Pro Max
Geekbench AI Score
3839
Single Precision Score
6969
Half Precision Score
5704
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | GreatDane |
| Upload Date | November 11 2025 06:13 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1551
288.4 IPS |
|
|
Image Classification (HP)
|
100% |
2962
550.8 IPS |
|
|
Image Classification (Q)
|
96% |
2035
380.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1568
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2501
40.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3031
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7928
9.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
17501
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14992
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1669
132.4 IPS |
|
|
Object Detection (HP)
|
97% |
3282
261.3 IPS |
|
|
Object Detection (Q)
|
94% |
2368
188.7 IPS |
|
|
Face Detection (SP)
|
100% |
3036
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
6691
79.5 IPS |
|
|
Face Detection (Q)
|
100% |
3871
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6883
53.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12680
98.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8948
70.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21775
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34254
44.0 IPS |
|
|
Style Transfer (Q)
|
96% |
28093
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4794
177.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5714
211.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4391
162.1 IPS |
|
|
Text Classification (SP)
|
100% |
3199
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5377
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5515
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3104
53.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7115
122.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7066
122.1 IPS |
