iPhone 15 Pro
Geekbench AI Score
3915
Single Precision Score
6941
Half Precision Score
5661
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 29 2025 06:30 PM |
| Views | 4 |
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 |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1704
317.0 IPS |
|
|
Image Classification (HP)
|
100% |
2974
553.1 IPS |
|
|
Image Classification (Q)
|
96% |
2036
380.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1593
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2350
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3034
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8129
9.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
16524
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14132
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1756
139.3 IPS |
|
|
Object Detection (HP)
|
97% |
3312
263.7 IPS |
|
|
Object Detection (Q)
|
94% |
2353
187.5 IPS |
|
|
Face Detection (SP)
|
100% |
3127
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
6728
79.9 IPS |
|
|
Face Detection (Q)
|
100% |
3777
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6797
52.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12871
99.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8943
69.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20838
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33430
43.0 IPS |
|
|
Style Transfer (Q)
|
96% |
26832
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4724
174.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5732
211.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4483
165.5 IPS |
|
|
Text Classification (SP)
|
100% |
3261
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
5828
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5790
7.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3205
55.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7026
121.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6999
121.0 IPS |
