iPhone 15 Pro
Geekbench AI Score
3877
Single Precision Score
6750
Half Precision Score
5533
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | barrcharlesgb |
| Upload Date | January 29 2025 02:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1682
312.8 IPS |
|
|
Image Classification (HP)
|
100% |
2927
544.3 IPS |
|
|
Image Classification (Q)
|
96% |
2019
377.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1585
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2368
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3077
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7517
8.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
15591
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13651
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1751
138.9 IPS |
|
|
Object Detection (HP)
|
97% |
3308
263.4 IPS |
|
|
Object Detection (Q)
|
94% |
2323
185.2 IPS |
|
|
Face Detection (SP)
|
100% |
3159
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6774
80.5 IPS |
|
|
Face Detection (Q)
|
100% |
3854
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6824
52.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13403
103.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9214
72.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20954
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
31786
40.9 IPS |
|
|
Style Transfer (Q)
|
96% |
26941
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4869
179.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5695
210.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4311
159.2 IPS |
|
|
Text Classification (SP)
|
100% |
3199
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5607
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5531
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3109
53.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5969
103.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5994
103.6 IPS |
