iPhone 15 Pro
Geekbench AI Score
3983
Single Precision Score
27328
Half Precision Score
37387
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 08 2025 01:06 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1671
310.8 IPS |
|
|
Image Classification (HP)
|
100% |
11012
2.05 KIPS |
|
|
Image Classification (Q)
|
97% |
15553
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1601
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16698
270.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
21300
345.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8425
9.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
106704
124.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
204971
240.2 IPS |
|
|
Object Detection (SP)
|
100% |
1776
140.9 IPS |
|
|
Object Detection (HP)
|
100% |
13339
1.06 KIPS |
|
|
Object Detection (Q)
|
91% |
17841
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3177
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
34179
406.1 IPS |
|
|
Face Detection (Q)
|
100% |
49803
591.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7012
54.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
78123
601.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
125146
978.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21986
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
209018
268.7 IPS |
|
|
Style Transfer (Q)
|
96% |
247533
319.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5003
184.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35101
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57740
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5514
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5273
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3208
55.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8219
141.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9378
162.1 IPS |
