iPhone 15 Pro
Geekbench AI Score
3915
Single Precision Score
6900
Half Precision Score
5652
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 22 2025 07:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1704
316.8 IPS |
|
|
Image Classification (HP)
|
100% |
2956
549.7 IPS |
|
|
Image Classification (Q)
|
96% |
2031
379.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1603
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2358
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3044
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7992
9.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
16266
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13859
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1766
140.0 IPS |
|
|
Object Detection (HP)
|
97% |
3337
265.7 IPS |
|
|
Object Detection (Q)
|
94% |
2364
188.5 IPS |
|
|
Face Detection (SP)
|
100% |
3142
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6754
80.2 IPS |
|
|
Face Detection (Q)
|
100% |
3783
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6738
51.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12795
98.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8890
69.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20883
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33450
43.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27395
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4789
176.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5755
212.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4410
162.8 IPS |
|
|
Text Classification (SP)
|
100% |
3244
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5664
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5817
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3195
55.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6867
118.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6951
120.1 IPS |
