iPhone 15 Pro
Geekbench AI Score
3721
Single Precision Score
24722
Half Precision Score
34313
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 02:11 PM |
| Views | 1 |
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% |
1582
294.2 IPS |
|
|
Image Classification (HP)
|
100% |
10661
1.98 KIPS |
|
|
Image Classification (Q)
|
97% |
13267
2.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16394
265.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21477
348.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7045
8.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
101698
118.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
196842
230.7 IPS |
|
|
Object Detection (SP)
|
100% |
1647
130.6 IPS |
|
|
Object Detection (HP)
|
100% |
12039
954.9 IPS |
|
|
Object Detection (Q)
|
91% |
15815
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
3063
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
37201
442.0 IPS |
|
|
Face Detection (Q)
|
100% |
52070
618.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6597
50.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
70282
541.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
106109
829.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19879
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
197646
254.1 IPS |
|
|
Style Transfer (Q)
|
96% |
236472
305.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4420
163.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27548
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54260
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3249
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5611
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5506
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3147
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4991
86.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6536
113.0 IPS |
