iPhone 15 Pro
Geekbench AI Score
3783
Single Precision Score
27184
Half Precision Score
37097
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 03:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1508
280.4 IPS |
|
|
Image Classification (HP)
|
100% |
12112
2.25 KIPS |
|
|
Image Classification (Q)
|
97% |
15262
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1588
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15742
255.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
21134
342.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7252
8.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
107567
125.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
205961
241.4 IPS |
|
|
Object Detection (SP)
|
100% |
1663
131.9 IPS |
|
|
Object Detection (HP)
|
100% |
14093
1.12 KIPS |
|
|
Object Detection (Q)
|
91% |
18099
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
3077
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
35174
417.9 IPS |
|
|
Face Detection (Q)
|
100% |
51995
617.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6822
52.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
79755
614.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
126539
989.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21109
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
208482
268.0 IPS |
|
|
Style Transfer (Q)
|
96% |
252063
325.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4574
168.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34839
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60485
2.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3257
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5924
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5591
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3149
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6318
108.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7322
126.5 IPS |
