iPhone 15 Pro
Geekbench AI Score
3847
Single Precision Score
6814
Half Precision Score
5492
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 11:00 AM |
| Views | 1 |
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% |
1672
310.9 IPS |
|
|
Image Classification (HP)
|
100% |
2939
546.6 IPS |
|
|
Image Classification (Q)
|
96% |
2014
376.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1641
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2463
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3063
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7430
8.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
15304
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13397
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1722
136.6 IPS |
|
|
Object Detection (HP)
|
97% |
3289
261.8 IPS |
|
|
Object Detection (Q)
|
94% |
2315
184.5 IPS |
|
|
Face Detection (SP)
|
100% |
3118
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
6732
80.0 IPS |
|
|
Face Detection (Q)
|
100% |
3783
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6709
51.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13179
101.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8904
69.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20144
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
31982
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26757
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4676
172.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6019
222.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4312
159.2 IPS |
|
|
Text Classification (SP)
|
100% |
3249
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5728
7.65 KIPS |
|
|
Text Classification (Q)
|
93% |
5551
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3163
54.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6057
104.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6051
104.6 IPS |
