iPhone 15 Pro
Geekbench AI Score
3851
Single Precision Score
6948
Half Precision Score
5712
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 06 2026 11:34 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1584
294.6 IPS |
|
|
Image Classification (HP)
|
100% |
2947
548.1 IPS |
|
|
Image Classification (Q)
|
96% |
2030
379.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1569
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2347
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3045
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7980
9.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
17238
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14848
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1682
133.4 IPS |
|
|
Object Detection (HP)
|
97% |
3279
261.1 IPS |
|
|
Object Detection (Q)
|
94% |
2364
188.4 IPS |
|
|
Face Detection (SP)
|
100% |
3114
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
6827
81.1 IPS |
|
|
Face Detection (Q)
|
100% |
3873
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6687
51.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12840
99.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9021
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21610
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33622
43.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28077
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4782
176.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5709
210.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4359
161.0 IPS |
|
|
Text Classification (SP)
|
100% |
3227
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5553
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5515
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3099
53.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7184
124.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7238
125.1 IPS |
