iPhone 15 Pro Max
Geekbench AI Score
3952
Single Precision Score
6948
Half Precision Score
5689
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 02:00 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1695
315.3 IPS |
|
|
Image Classification (HP)
|
100% |
2951
548.8 IPS |
|
|
Image Classification (Q)
|
96% |
2044
381.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1598
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2356
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3045
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8197
9.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
16809
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14560
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1768
140.2 IPS |
|
|
Object Detection (HP)
|
97% |
3294
262.2 IPS |
|
|
Object Detection (Q)
|
94% |
2357
187.9 IPS |
|
|
Face Detection (SP)
|
100% |
3146
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6689
79.5 IPS |
|
|
Face Detection (Q)
|
100% |
3724
44.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6940
53.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12861
99.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9001
70.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21332
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34307
44.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27847
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4866
179.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5778
213.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4475
165.2 IPS |
|
|
Text Classification (SP)
|
100% |
3270
4.36 KIPS |
|
|
Text Classification (HP)
|
100% |
5838
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5712
7.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3197
55.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6844
118.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6978
120.6 IPS |
