iPhone 15 Pro
Geekbench AI Score
3932
Single Precision Score
6961
Half Precision Score
5684
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | jrobins |
| Upload Date | May 24 2025 01:42 PM |
| Views | 6 |
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% |
1708
317.7 IPS |
|
|
Image Classification (HP)
|
100% |
2970
552.4 IPS |
|
|
Image Classification (Q)
|
96% |
2037
380.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2412
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3041
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7936
9.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
16416
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14074
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1762
139.8 IPS |
|
|
Object Detection (HP)
|
97% |
3324
264.7 IPS |
|
|
Object Detection (Q)
|
94% |
2368
188.8 IPS |
|
|
Face Detection (SP)
|
100% |
3172
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6761
80.3 IPS |
|
|
Face Detection (Q)
|
100% |
3838
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6883
53.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12941
100.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9003
70.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20988
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33456
43.0 IPS |
|
|
Style Transfer (Q)
|
96% |
28022
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4817
177.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5782
213.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4472
165.1 IPS |
|
|
Text Classification (SP)
|
100% |
3252
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5743
7.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5660
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3200
55.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7038
121.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6967
120.4 IPS |
