iPhone 15 Pro
Geekbench AI Score
3976
Single Precision Score
7031
Half Precision Score
5713
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 13 2025 12:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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
316.8 IPS |
|
|
Image Classification (HP)
|
100% |
2960
550.5 IPS |
|
|
Image Classification (Q)
|
96% |
2040
380.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1613
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2366
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3041
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8175
9.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
16829
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14488
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1776
140.9 IPS |
|
|
Object Detection (HP)
|
97% |
3330
265.1 IPS |
|
|
Object Detection (Q)
|
94% |
2382
189.8 IPS |
|
|
Face Detection (SP)
|
100% |
3191
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6828
81.1 IPS |
|
|
Face Detection (Q)
|
100% |
3844
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6972
53.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12825
99.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9013
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21423
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34406
44.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27609
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4924
181.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5984
221.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4465
164.9 IPS |
|
|
Text Classification (SP)
|
100% |
3319
4.43 KIPS |
|
|
Text Classification (HP)
|
100% |
5963
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5821
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3184
54.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7002
121.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6966
120.4 IPS |
