iPhone 15 Pro
Geekbench AI Score
3925
Single Precision Score
6843
Half Precision Score
5597
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 02 2024 08:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1652
307.2 IPS |
|
|
Image Classification (HP)
|
100% |
2919
542.9 IPS |
|
|
Image Classification (Q)
|
96% |
2017
376.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1608
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2392
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3092
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7921
9.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
16180
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14168
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1792
142.2 IPS |
|
|
Object Detection (HP)
|
97% |
3365
267.9 IPS |
|
|
Object Detection (Q)
|
94% |
2359
188.0 IPS |
|
|
Face Detection (SP)
|
100% |
3215
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
6848
81.4 IPS |
|
|
Face Detection (Q)
|
100% |
3899
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6984
53.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13587
105.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9261
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21026
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32338
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27399
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4861
179.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5816
214.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4405
162.7 IPS |
|
|
Text Classification (SP)
|
100% |
3198
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5541
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5468
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3139
54.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6113
105.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6075
105.0 IPS |
