iPhone 15 Pro
Geekbench AI Score
5097
Single Precision Score
6008
Half Precision Score
5601
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 02:52 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1903
353.8 IPS |
|
|
Image Classification (HP)
|
100% |
2041
379.6 IPS |
|
|
Image Classification (Q)
|
96% |
2114
394.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3753
60.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4253
69.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4032
65.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13136
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
14972
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14631
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2436
193.2 IPS |
|
|
Object Detection (HP)
|
100% |
2612
207.2 IPS |
|
|
Object Detection (Q)
|
92% |
2390
190.8 IPS |
|
|
Face Detection (SP)
|
100% |
6645
79.0 IPS |
|
|
Face Detection (HP)
|
100% |
9264
110.1 IPS |
|
|
Face Detection (Q)
|
100% |
6936
82.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11426
88.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12536
96.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
11080
86.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27469
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32955
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
32300
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5731
211.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5902
218.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5085
187.8 IPS |
|
|
Text Classification (SP)
|
100% |
3248
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5581
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5580
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1335
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1432
24.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1448
25.0 IPS |
