iPhone 15 Pro Max
Geekbench AI Score
3865
Single Precision Score
6888
Half Precision Score
5652
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | RichardP |
| Upload Date | July 20 2025 10:50 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1685
313.4 IPS |
|
|
Image Classification (HP)
|
100% |
2995
556.9 IPS |
|
|
Image Classification (Q)
|
96% |
2046
382.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1592
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2339
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3021
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7707
8.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
16163
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13979
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1736
137.7 IPS |
|
|
Object Detection (HP)
|
97% |
3301
262.8 IPS |
|
|
Object Detection (Q)
|
94% |
2340
186.5 IPS |
|
|
Face Detection (SP)
|
100% |
3052
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
6625
78.7 IPS |
|
|
Face Detection (Q)
|
100% |
3748
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6702
51.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12622
97.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8831
69.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20751
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32845
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27297
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4690
173.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5752
212.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4419
163.2 IPS |
|
|
Text Classification (SP)
|
100% |
3284
4.38 KIPS |
|
|
Text Classification (HP)
|
100% |
5932
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5929
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3177
54.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6871
118.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6951
120.1 IPS |
