iPhone 15 Pro Max
Geekbench AI Score
3947
Single Precision Score
7073
Half Precision Score
5726
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 20 2025 10:25 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1653
307.4 IPS |
|
|
Image Classification (HP)
|
100% |
2976
553.4 IPS |
|
|
Image Classification (Q)
|
96% |
2050
382.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1665
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2527
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3050
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7962
9.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
16356
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14247
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1781
141.3 IPS |
|
|
Object Detection (HP)
|
97% |
3349
266.6 IPS |
|
|
Object Detection (Q)
|
94% |
2375
189.3 IPS |
|
|
Face Detection (SP)
|
100% |
3145
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6754
80.3 IPS |
|
|
Face Detection (Q)
|
100% |
3808
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6908
53.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12880
99.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9005
70.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20977
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33782
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27732
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4836
178.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6235
230.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4511
166.6 IPS |
|
|
Text Classification (SP)
|
100% |
3325
4.44 KIPS |
|
|
Text Classification (HP)
|
100% |
5977
7.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5927
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3210
55.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6954
120.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7051
121.8 IPS |
