iPhone 15 Pro
Geekbench AI Score
3931
Single Precision Score
6902
Half Precision Score
5588
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 03 2025 08:06 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1697
315.5 IPS |
|
|
Image Classification (HP)
|
100% |
2948
548.2 IPS |
|
|
Image Classification (Q)
|
96% |
2011
375.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1677
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2508
40.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3079
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7839
9.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
16155
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14160
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1768
140.3 IPS |
|
|
Object Detection (HP)
|
97% |
3341
265.9 IPS |
|
|
Object Detection (Q)
|
94% |
2347
187.1 IPS |
|
|
Face Detection (SP)
|
100% |
3098
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
6801
80.8 IPS |
|
|
Face Detection (Q)
|
100% |
3858
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6869
52.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
13440
103.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9264
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21305
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32172
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27327
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4889
180.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5919
218.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4409
162.8 IPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5563
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5539
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3148
54.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6349
109.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6052
104.6 IPS |
