iPhone 15 Pro
Geekbench AI Score
3941
Single Precision Score
6956
Half Precision Score
5689
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 30 2025 03:22 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% |
1715
318.9 IPS |
|
|
Image Classification (HP)
|
100% |
2955
549.5 IPS |
|
|
Image Classification (Q)
|
96% |
2041
381.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1614
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2352
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3042
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8116
9.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
16711
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14197
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1761
139.7 IPS |
|
|
Object Detection (HP)
|
97% |
3314
263.8 IPS |
|
|
Object Detection (Q)
|
94% |
2365
188.5 IPS |
|
|
Face Detection (SP)
|
100% |
3137
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6787
80.6 IPS |
|
|
Face Detection (Q)
|
100% |
3820
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6865
52.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12873
99.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9024
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20990
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34085
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28080
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4852
179.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5774
213.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4470
165.1 IPS |
|
|
Text Classification (SP)
|
100% |
3238
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
5631
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5609
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3222
55.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7119
123.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7027
121.4 IPS |
