iPhone 15 Pro
Geekbench AI Score
3945
Single Precision Score
6986
Half Precision Score
5687
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 10 2025 09:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1700
316.2 IPS |
|
|
Image Classification (HP)
|
100% |
2974
553.1 IPS |
|
|
Image Classification (Q)
|
96% |
2038
380.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1601
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2349
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3045
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7844
9.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
16357
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14306
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1781
141.2 IPS |
|
|
Object Detection (HP)
|
97% |
3351
266.8 IPS |
|
|
Object Detection (Q)
|
94% |
2361
188.2 IPS |
|
|
Face Detection (SP)
|
100% |
3226
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
6800
80.8 IPS |
|
|
Face Detection (Q)
|
100% |
3854
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6947
53.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13022
100.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8926
69.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21191
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34344
44.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27967
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4828
178.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5911
218.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4458
164.6 IPS |
|
|
Text Classification (SP)
|
100% |
3249
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5642
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5602
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3230
55.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7136
123.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7031
121.5 IPS |
