iPhone 15 Pro
Geekbench AI Score
3792
Single Precision Score
6784
Half Precision Score
5565
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 02 2025 04:07 PM |
| Views | 2 |
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% |
1618
300.9 IPS |
|
|
Image Classification (HP)
|
100% |
2975
553.2 IPS |
|
|
Image Classification (Q)
|
96% |
2031
379.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1659
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2353
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2975
48.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6999
8.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
14873
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13249
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1725
136.8 IPS |
|
|
Object Detection (HP)
|
97% |
3279
261.1 IPS |
|
|
Object Detection (Q)
|
94% |
2331
185.8 IPS |
|
|
Face Detection (SP)
|
100% |
3041
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
6663
79.2 IPS |
|
|
Face Detection (Q)
|
100% |
3707
44.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6652
51.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12601
97.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8837
69.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20157
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32873
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
26924
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4492
165.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5570
205.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4340
160.3 IPS |
|
|
Text Classification (SP)
|
100% |
3241
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5623
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5593
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3203
55.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7000
121.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7136
123.3 IPS |
