iPhone 15 Pro
Geekbench AI Score
5079
Single Precision Score
5918
Half Precision Score
5465
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 08 2025 06:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1996
371.2 IPS |
|
|
Image Classification (HP)
|
100% |
1996
371.1 IPS |
|
|
Image Classification (Q)
|
96% |
1582
295.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3687
59.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4177
67.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4038
65.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13341
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14483
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14288
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2380
188.8 IPS |
|
|
Object Detection (HP)
|
100% |
2628
208.4 IPS |
|
|
Object Detection (Q)
|
92% |
2498
199.4 IPS |
|
|
Face Detection (SP)
|
100% |
6592
78.3 IPS |
|
|
Face Detection (HP)
|
100% |
9222
109.6 IPS |
|
|
Face Detection (Q)
|
100% |
7092
84.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11525
88.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12321
94.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
11371
88.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27188
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32165
41.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31493
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5590
206.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5801
214.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5065
187.0 IPS |
|
|
Text Classification (SP)
|
100% |
3274
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
5656
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5646
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1295
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1385
23.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1436
24.8 IPS |
