iPhone 15 Pro
Geekbench AI Score
3969
Single Precision Score
6827
Half Precision Score
5585
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 09:59 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1734
322.5 IPS |
|
|
Image Classification (HP)
|
100% |
2909
540.9 IPS |
|
|
Image Classification (Q)
|
96% |
2015
376.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1618
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2426
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3069
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8050
9.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
16275
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14191
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1778
141.0 IPS |
|
|
Object Detection (HP)
|
97% |
3350
266.7 IPS |
|
|
Object Detection (Q)
|
94% |
2339
186.4 IPS |
|
|
Face Detection (SP)
|
100% |
3240
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
6779
80.5 IPS |
|
|
Face Detection (Q)
|
100% |
3829
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7100
54.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13556
104.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9266
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21236
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32329
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27326
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4936
182.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5764
212.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4411
162.9 IPS |
|
|
Text Classification (SP)
|
100% |
3195
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5463
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5462
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3136
54.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6114
105.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6160
106.4 IPS |
