iPhone 15 Pro
Geekbench AI Score
3830
Single Precision Score
26835
Half Precision Score
36842
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | DeakonFrost |
| Upload Date | September 11 2025 09:04 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1588
295.3 IPS |
|
|
Image Classification (HP)
|
100% |
10909
2.03 KIPS |
|
|
Image Classification (Q)
|
97% |
15464
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1563
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15899
257.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
21077
341.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7543
8.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
105773
123.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
207986
243.8 IPS |
|
|
Object Detection (SP)
|
100% |
1678
133.1 IPS |
|
|
Object Detection (HP)
|
100% |
13876
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
17665
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3147
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
36285
431.1 IPS |
|
|
Face Detection (Q)
|
100% |
51910
616.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6892
53.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
78381
603.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
122330
956.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21024
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
208877
268.5 IPS |
|
|
Style Transfer (Q)
|
96% |
249428
321.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4692
173.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36153
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60298
2.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3237
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5499
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5480
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3128
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6443
111.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7352
127.1 IPS |
