iPhone 15 Pro
Geekbench AI Score
5086
Single Precision Score
5915
Half Precision Score
5738
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | DeakonFrost |
| Upload Date | September 11 2025 09:01 PM |
| Views | 7 |
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% |
2015
374.7 IPS |
|
|
Image Classification (HP)
|
100% |
1792
333.2 IPS |
|
|
Image Classification (Q)
|
96% |
2086
389.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3841
62.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4269
69.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4141
67.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13325
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15267
17.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
14680
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2246
178.1 IPS |
|
|
Object Detection (HP)
|
100% |
2681
212.7 IPS |
|
|
Object Detection (Q)
|
92% |
2532
202.1 IPS |
|
|
Face Detection (SP)
|
100% |
6610
78.5 IPS |
|
|
Face Detection (HP)
|
100% |
8601
102.2 IPS |
|
|
Face Detection (Q)
|
100% |
7172
85.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11142
85.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12367
95.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
11618
90.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27064
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32956
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
32715
42.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5998
221.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6214
229.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5614
207.3 IPS |
|
|
Text Classification (SP)
|
100% |
3221
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5542
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5507
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1300
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1388
23.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1430
24.7 IPS |
