iPhone 15 Pro
Geekbench AI Score
4050
Single Precision Score
6935
Half Precision Score
5677
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 09:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1720
319.9 IPS |
|
|
Image Classification (HP)
|
100% |
2932
545.2 IPS |
|
|
Image Classification (Q)
|
96% |
2012
375.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1635
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2408
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3105
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8479
9.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
17148
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14661
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1823
144.6 IPS |
|
|
Object Detection (HP)
|
97% |
3382
269.2 IPS |
|
|
Object Detection (Q)
|
94% |
2364
188.4 IPS |
|
|
Face Detection (SP)
|
100% |
3275
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
6900
82.0 IPS |
|
|
Face Detection (Q)
|
100% |
3923
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7244
55.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13716
106.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9491
74.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21777
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32839
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27757
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5106
188.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5838
215.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4455
164.5 IPS |
|
|
Text Classification (SP)
|
100% |
3251
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5634
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5701
7.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3192
55.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6149
106.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6121
105.8 IPS |
