iPhone 15 Pro
Geekbench AI Score
3991
Single Precision Score
6857
Half Precision Score
5614
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2024 11:39 AM |
| Views | 2 |
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% |
1728
321.4 IPS |
|
|
Image Classification (HP)
|
100% |
2942
547.0 IPS |
|
|
Image Classification (Q)
|
96% |
2020
377.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1644
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2379
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3093
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8041
9.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
16482
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14347
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1813
143.8 IPS |
|
|
Object Detection (HP)
|
97% |
3371
268.4 IPS |
|
|
Object Detection (Q)
|
94% |
2362
188.3 IPS |
|
|
Face Detection (SP)
|
100% |
3275
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
6797
80.8 IPS |
|
|
Face Detection (Q)
|
100% |
3884
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7169
55.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13611
105.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9349
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21326
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32566
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27592
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4917
181.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5817
214.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4389
162.1 IPS |
|
|
Text Classification (SP)
|
100% |
3192
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5465
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5441
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3153
54.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6177
106.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6143
106.2 IPS |
