iPhone 15 Pro
Geekbench AI Score
5011
Single Precision Score
5902
Half Precision Score
5611
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 15 2025 11:51 AM |
| Views | 5 |
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% |
1835
341.2 IPS |
|
|
Image Classification (HP)
|
100% |
1772
329.6 IPS |
|
|
Image Classification (Q)
|
96% |
2098
391.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3717
60.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4177
67.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4019
65.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13184
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
14983
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14580
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2286
181.3 IPS |
|
|
Object Detection (HP)
|
100% |
2641
209.5 IPS |
|
|
Object Detection (Q)
|
92% |
2431
194.1 IPS |
|
|
Face Detection (SP)
|
100% |
6608
78.5 IPS |
|
|
Face Detection (HP)
|
100% |
9274
110.2 IPS |
|
|
Face Detection (Q)
|
100% |
7410
88.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11398
87.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12888
99.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
11418
89.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27521
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33208
42.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32947
42.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5654
208.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5928
218.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5091
188.0 IPS |
|
|
Text Classification (SP)
|
100% |
3272
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5421
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5387
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1267
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1375
23.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1356
23.4 IPS |
