iPhone 15 Pro
Geekbench AI Score
3691
Single Precision Score
23157
Half Precision Score
32867
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 09:15 AM |
| Views | 8 |
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% |
1573
292.5 IPS |
|
|
Image Classification (HP)
|
100% |
9205
1.71 KIPS |
|
|
Image Classification (Q)
|
97% |
11984
2.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1517
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16533
268.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
21304
345.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6843
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
99456
116.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
195670
229.3 IPS |
|
|
Object Detection (SP)
|
100% |
1633
129.5 IPS |
|
|
Object Detection (HP)
|
100% |
11019
874.0 IPS |
|
|
Object Detection (Q)
|
91% |
16069
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
3023
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
35538
422.3 IPS |
|
|
Face Detection (Q)
|
100% |
49402
587.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6524
50.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
61875
476.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
95710
748.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20017
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
196035
252.0 IPS |
|
|
Style Transfer (Q)
|
96% |
233561
301.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4441
164.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25261
932.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
46632
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
3186
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5747
7.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5506
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3151
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4249
73.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6463
111.7 IPS |
