iPhone 15 Pro
Geekbench AI Score
3900
Single Precision Score
6901
Half Precision Score
5639
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 09:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1708
317.7 IPS |
|
|
Image Classification (HP)
|
100% |
3002
558.3 IPS |
|
|
Image Classification (Q)
|
96% |
2054
383.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1604
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2346
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3025
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7951
9.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
16057
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13962
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1726
136.9 IPS |
|
|
Object Detection (HP)
|
97% |
3278
261.0 IPS |
|
|
Object Detection (Q)
|
94% |
2347
187.1 IPS |
|
|
Face Detection (SP)
|
100% |
3103
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6715
79.8 IPS |
|
|
Face Detection (Q)
|
100% |
3768
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6789
52.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12718
98.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8900
69.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20632
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
33451
43.0 IPS |
|
|
Style Transfer (Q)
|
96% |
26895
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4758
175.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5707
210.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4426
163.4 IPS |
|
|
Text Classification (SP)
|
100% |
3255
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5747
7.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5707
7.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3219
55.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7057
121.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7009
121.1 IPS |
