iPhone 15 Pro
Geekbench AI Score
3848
Single Precision Score
6828
Half Precision Score
5602
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 12 2025 04:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1680
312.4 IPS |
|
|
Image Classification (HP)
|
100% |
2952
548.9 IPS |
|
|
Image Classification (Q)
|
96% |
2031
379.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1604
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2355
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3038
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7590
8.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
15859
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13792
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1738
137.8 IPS |
|
|
Object Detection (HP)
|
97% |
3333
265.3 IPS |
|
|
Object Detection (Q)
|
94% |
2338
186.3 IPS |
|
|
Face Detection (SP)
|
100% |
3106
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6658
79.1 IPS |
|
|
Face Detection (Q)
|
100% |
3754
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6740
51.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12621
97.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8760
68.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20660
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32598
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27430
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4714
174.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5633
208.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4420
163.2 IPS |
|
|
Text Classification (SP)
|
100% |
2982
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5328
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5220
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3300
56.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7293
126.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7361
127.2 IPS |
