iPhone 15 Pro
Geekbench AI Score
5052
Single Precision Score
5894
Half Precision Score
5701
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 10:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1920
357.1 IPS |
|
|
Image Classification (HP)
|
100% |
1762
327.7 IPS |
|
|
Image Classification (Q)
|
96% |
2053
383.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3775
61.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4279
69.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4145
67.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13312
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15190
17.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
14550
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2269
179.9 IPS |
|
|
Object Detection (HP)
|
100% |
2596
206.0 IPS |
|
|
Object Detection (Q)
|
92% |
2464
196.7 IPS |
|
|
Face Detection (SP)
|
100% |
6452
76.7 IPS |
|
|
Face Detection (HP)
|
100% |
8559
101.7 IPS |
|
|
Face Detection (Q)
|
100% |
7175
85.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10703
82.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12193
93.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
11336
88.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27219
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33015
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
32182
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6020
222.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6085
224.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5463
201.7 IPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5647
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5608
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1365
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1438
24.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1483
25.6 IPS |
