iPhone 15 Pro
Geekbench AI Score
5037
Single Precision Score
5786
Half Precision Score
5355
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 10:01 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1932
359.3 IPS |
|
|
Image Classification (HP)
|
100% |
1636
304.2 IPS |
|
|
Image Classification (Q)
|
97% |
1920
358.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3083
50.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3952
64.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3992
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15061
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15211
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14648
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2553
202.5 IPS |
|
|
Object Detection (HP)
|
100% |
2801
222.2 IPS |
|
|
Object Detection (Q)
|
91% |
2432
194.3 IPS |
|
|
Face Detection (SP)
|
100% |
6864
81.6 IPS |
|
|
Face Detection (HP)
|
100% |
9645
114.6 IPS |
|
|
Face Detection (Q)
|
100% |
6744
80.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12266
94.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13411
103.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
11445
89.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29201
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34490
44.3 IPS |
|
|
Style Transfer (Q)
|
96% |
32853
42.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6405
236.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6669
246.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5390
199.0 IPS |
|
|
Text Classification (SP)
|
100% |
3189
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5524
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5495
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
915
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
930
16.0 IPS |
|
|
Machine Translation (Q)
|
98% |
946
16.3 IPS |
