iPhone 15 Pro
Geekbench AI Score
3783
Single Precision Score
26756
Half Precision Score
36120
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 04 2025 08:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1592
296.1 IPS |
|
|
Image Classification (HP)
|
100% |
11053
2.06 KIPS |
|
|
Image Classification (Q)
|
97% |
15481
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1564
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16316
264.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21443
347.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7394
8.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
106385
124.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
203777
238.8 IPS |
|
|
Object Detection (SP)
|
100% |
1676
133.0 IPS |
|
|
Object Detection (HP)
|
100% |
13408
1.06 KIPS |
|
|
Object Detection (Q)
|
91% |
17568
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3091
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
35037
416.3 IPS |
|
|
Face Detection (Q)
|
100% |
47506
564.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6743
52.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
78476
604.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
127045
993.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20501
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
202714
260.6 IPS |
|
|
Style Transfer (Q)
|
96% |
250864
323.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4579
169.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34756
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58008
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5523
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5408
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3104
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6834
117.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6697
115.7 IPS |
