iPhone 15 Pro
Geekbench AI Score
3911
Single Precision Score
6913
Half Precision Score
5674
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 15 2025 11:50 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1673
311.1 IPS |
|
|
Image Classification (HP)
|
100% |
2910
541.2 IPS |
|
|
Image Classification (Q)
|
96% |
2023
377.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2318
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3030
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7597
8.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
16035
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13904
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1755
139.2 IPS |
|
|
Object Detection (HP)
|
97% |
3282
261.3 IPS |
|
|
Object Detection (Q)
|
94% |
2372
189.1 IPS |
|
|
Face Detection (SP)
|
100% |
3164
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6777
80.5 IPS |
|
|
Face Detection (Q)
|
100% |
3840
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6934
53.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12851
99.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8944
69.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21144
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33895
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27645
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4774
176.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5725
211.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4413
162.9 IPS |
|
|
Text Classification (SP)
|
100% |
3248
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5590
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5450
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3239
55.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7434
128.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7505
129.7 IPS |
