iPhone 15 Pro
Geekbench AI Score
4029
Single Precision Score
7150
Half Precision Score
5792
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | antoxa256 |
| Upload Date | November 30 2025 06:53 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
1709
317.8 IPS |
|
|
Image Classification (HP)
|
100% |
3003
558.5 IPS |
|
|
Image Classification (Q)
|
96% |
2045
381.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1631
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2402
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3046
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8673
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17517
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15062
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1807
143.3 IPS |
|
|
Object Detection (HP)
|
97% |
3362
267.7 IPS |
|
|
Object Detection (Q)
|
94% |
2391
190.6 IPS |
|
|
Face Detection (SP)
|
100% |
3127
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
6908
82.1 IPS |
|
|
Face Detection (Q)
|
100% |
3877
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6932
53.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13027
100.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9134
71.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22168
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34967
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28905
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5104
188.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6277
231.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4489
165.7 IPS |
|
|
Text Classification (SP)
|
100% |
3311
4.42 KIPS |
|
|
Text Classification (HP)
|
100% |
5889
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5848
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3181
54.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7069
122.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7053
121.9 IPS |
