iPhone 15 Pro
Geekbench AI Score
5116
Single Precision Score
6110
Half Precision Score
5922
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | hrdc0r3 |
| Upload Date | March 08 2026 10:20 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
2125
395.1 IPS |
|
|
Image Classification (HP)
|
100% |
2213
411.5 IPS |
|
|
Image Classification (Q)
|
96% |
2125
396.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3705
60.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4210
68.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4067
65.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13128
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
14974
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14456
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2376
188.5 IPS |
|
|
Object Detection (HP)
|
100% |
2709
214.9 IPS |
|
|
Object Detection (Q)
|
91% |
2704
216.1 IPS |
|
|
Face Detection (SP)
|
100% |
6647
79.0 IPS |
|
|
Face Detection (HP)
|
100% |
9338
111.0 IPS |
|
|
Face Detection (Q)
|
100% |
8605
102.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10923
84.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12196
94.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
11647
91.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27832
35.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33398
42.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31942
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5683
209.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6094
225.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5555
205.1 IPS |
|
|
Text Classification (SP)
|
100% |
3241
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5563
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5675
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1346
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1488
25.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1558
26.9 IPS |
