iPhone 15 Pro
Geekbench AI Score
3928
Single Precision Score
6806
Half Precision Score
5580
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 10:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1733
322.3 IPS |
|
|
Image Classification (HP)
|
100% |
2917
542.5 IPS |
|
|
Image Classification (Q)
|
96% |
2017
376.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1627
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2418
39.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3094
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7709
9.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
15247
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13890
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1737
137.8 IPS |
|
|
Object Detection (HP)
|
97% |
3335
265.5 IPS |
|
|
Object Detection (Q)
|
94% |
2347
187.1 IPS |
|
|
Face Detection (SP)
|
100% |
3194
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6331
75.2 IPS |
|
|
Face Detection (Q)
|
100% |
3790
45.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6851
52.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13261
102.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9085
71.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20690
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33076
42.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27349
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4784
176.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6136
226.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4391
162.1 IPS |
|
|
Text Classification (SP)
|
100% |
3272
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
5775
7.71 KIPS |
|
|
Text Classification (Q)
|
93% |
5744
7.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3269
56.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6050
104.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6057
104.7 IPS |
