iPhone 15 Pro
Geekbench AI Score
3991
Single Precision Score
7003
Half Precision Score
5734
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 14 2025 02:50 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1702
316.5 IPS |
|
|
Image Classification (HP)
|
100% |
2972
552.7 IPS |
|
|
Image Classification (Q)
|
96% |
2028
378.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1601
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2356
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3052
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8160
9.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
16947
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14691
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1798
142.6 IPS |
|
|
Object Detection (HP)
|
97% |
3340
265.9 IPS |
|
|
Object Detection (Q)
|
94% |
2381
189.8 IPS |
|
|
Face Detection (SP)
|
100% |
3215
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
6850
81.4 IPS |
|
|
Face Detection (Q)
|
100% |
3833
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7059
54.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13033
100.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9024
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21683
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34117
43.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28176
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4935
182.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5714
211.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4463
164.8 IPS |
|
|
Text Classification (SP)
|
100% |
3277
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
5810
7.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5787
7.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3225
55.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7080
122.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7062
122.0 IPS |
