iPhone 15 Pro
Geekbench AI Score
3973
Single Precision Score
6881
Half Precision Score
5609
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 05:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1710
318.1 IPS |
|
|
Image Classification (HP)
|
100% |
2915
542.1 IPS |
|
|
Image Classification (Q)
|
96% |
2016
376.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1614
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2405
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3086
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8079
9.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
16598
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14383
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1794
142.3 IPS |
|
|
Object Detection (HP)
|
97% |
3333
265.4 IPS |
|
|
Object Detection (Q)
|
94% |
2337
186.3 IPS |
|
|
Face Detection (SP)
|
100% |
3215
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
6769
80.4 IPS |
|
|
Face Detection (Q)
|
100% |
3889
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7138
55.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13529
104.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9317
72.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21387
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32791
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27400
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4932
182.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5935
219.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4442
164.0 IPS |
|
|
Text Classification (SP)
|
100% |
3189
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5537
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5503
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3178
54.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6223
107.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6075
105.0 IPS |
