iPhone 15 Pro
Geekbench AI Score
3956
Single Precision Score
6952
Half Precision Score
5701
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 25 2025 10:29 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1699
315.9 IPS |
|
|
Image Classification (HP)
|
100% |
2955
549.5 IPS |
|
|
Image Classification (Q)
|
96% |
2030
379.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1631
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2351
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3050
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7894
9.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
16481
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14406
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1786
141.7 IPS |
|
|
Object Detection (HP)
|
97% |
3336
265.6 IPS |
|
|
Object Detection (Q)
|
94% |
2357
187.9 IPS |
|
|
Face Detection (SP)
|
100% |
3171
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6860
81.5 IPS |
|
|
Face Detection (Q)
|
100% |
3850
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6941
53.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12921
99.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9009
70.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21076
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33658
43.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27910
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4879
180.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5739
211.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4466
164.9 IPS |
|
|
Text Classification (SP)
|
100% |
3291
4.39 KIPS |
|
|
Text Classification (HP)
|
100% |
5694
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5616
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3233
55.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7082
122.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7116
123.0 IPS |
