iPhone 15 Pro
Geekbench AI Score
3905
Single Precision Score
6881
Half Precision Score
5556
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 06:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1689
314.0 IPS |
|
|
Image Classification (HP)
|
100% |
2950
548.7 IPS |
|
|
Image Classification (Q)
|
96% |
2027
378.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1683
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2593
42.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3068
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7618
8.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
15888
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14011
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1767
140.2 IPS |
|
|
Object Detection (HP)
|
97% |
3331
265.2 IPS |
|
|
Object Detection (Q)
|
94% |
2316
184.6 IPS |
|
|
Face Detection (SP)
|
100% |
3158
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6771
80.5 IPS |
|
|
Face Detection (Q)
|
100% |
3798
45.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6834
52.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13383
103.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9157
71.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20868
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32320
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27105
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4828
178.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5811
214.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4312
159.2 IPS |
|
|
Text Classification (SP)
|
100% |
3192
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5689
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5616
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3111
53.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6072
104.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6086
105.2 IPS |
