iPhone 15 Pro
Geekbench AI Score
3928
Single Precision Score
6966
Half Precision Score
5670
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 07 2025 08:38 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% |
1697
315.6 IPS |
|
|
Image Classification (HP)
|
100% |
2995
556.9 IPS |
|
|
Image Classification (Q)
|
96% |
2039
380.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1608
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2354
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3045
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7802
9.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
16440
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14063
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1784
141.5 IPS |
|
|
Object Detection (HP)
|
97% |
3343
266.1 IPS |
|
|
Object Detection (Q)
|
94% |
2356
187.8 IPS |
|
|
Face Detection (SP)
|
100% |
3141
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6830
81.2 IPS |
|
|
Face Detection (Q)
|
100% |
3818
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6874
53.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12882
99.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9020
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21151
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34142
43.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27440
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4790
176.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5763
212.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4435
163.8 IPS |
|
|
Text Classification (SP)
|
100% |
3263
4.36 KIPS |
|
|
Text Classification (HP)
|
100% |
5648
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5608
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3231
55.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7104
122.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7108
122.8 IPS |
