iPhone 15 Pro
Geekbench AI Score
5049
Single Precision Score
5990
Half Precision Score
5419
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | June 15 2025 09:53 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1979
368.0 IPS |
|
|
Image Classification (HP)
|
100% |
2114
393.1 IPS |
|
|
Image Classification (Q)
|
96% |
1507
281.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3805
61.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4180
67.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4052
65.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13015
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14988
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14544
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2429
192.6 IPS |
|
|
Object Detection (HP)
|
100% |
2737
217.1 IPS |
|
|
Object Detection (Q)
|
92% |
2355
188.0 IPS |
|
|
Face Detection (SP)
|
100% |
6645
79.0 IPS |
|
|
Face Detection (HP)
|
100% |
9180
109.1 IPS |
|
|
Face Detection (Q)
|
100% |
7307
86.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11399
87.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12791
98.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
11415
89.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26969
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32352
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32252
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5590
206.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5766
212.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5053
186.6 IPS |
|
|
Text Classification (SP)
|
100% |
2978
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5308
7.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5362
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1331
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1412
24.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1434
24.8 IPS |
