iPhone 15 Pro
Geekbench AI Score
4016
Single Precision Score
7036
Half Precision Score
5751
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 11 2025 08:59 PM |
| 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% |
1709
317.7 IPS |
|
|
Image Classification (HP)
|
100% |
2973
552.8 IPS |
|
|
Image Classification (Q)
|
96% |
2040
381.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1611
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2346
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3056
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8306
9.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
17218
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14867
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1804
143.1 IPS |
|
|
Object Detection (HP)
|
97% |
3362
267.6 IPS |
|
|
Object Detection (Q)
|
94% |
2384
190.0 IPS |
|
|
Face Detection (SP)
|
100% |
3261
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
6823
81.1 IPS |
|
|
Face Detection (Q)
|
100% |
3875
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7096
54.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12994
100.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9062
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21975
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34500
44.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28685
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4947
182.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5733
211.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4462
164.8 IPS |
|
|
Text Classification (SP)
|
100% |
3250
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5845
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5621
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3237
55.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7190
124.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7098
122.7 IPS |
