iPhone 15 Pro
Geekbench AI Score
4028
Single Precision Score
6892
Half Precision Score
5639
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 12 2025 04:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1716
319.1 IPS |
|
|
Image Classification (HP)
|
100% |
2933
545.4 IPS |
|
|
Image Classification (Q)
|
96% |
2020
377.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2405
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3104
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8483
9.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
17041
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14690
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1805
143.2 IPS |
|
|
Object Detection (HP)
|
97% |
3387
269.7 IPS |
|
|
Object Detection (Q)
|
94% |
2364
188.4 IPS |
|
|
Face Detection (SP)
|
100% |
3212
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
6866
81.6 IPS |
|
|
Face Detection (Q)
|
100% |
3925
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7114
54.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13654
105.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9364
73.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21692
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32703
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27667
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5065
187.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5759
212.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4394
162.2 IPS |
|
|
Text Classification (SP)
|
100% |
3199
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5514
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5475
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3310
57.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6101
105.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6106
105.5 IPS |
