iPhone 15 Pro
Geekbench AI Score
4108
Single Precision Score
4637
Half Precision Score
1537
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 14 2025 03:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.3.1 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1677
311.9 IPS |
|
|
Image Classification (HP)
|
100% |
1929
358.8 IPS |
|
|
Image Classification (Q)
|
99% |
1574
293.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2980
48.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3771
61.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3732
60.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14706
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
15502
18.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
14495
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2595
205.8 IPS |
|
|
Object Detection (HP)
|
100% |
2964
235.1 IPS |
|
|
Object Detection (Q)
|
91% |
2202
175.9 IPS |
|
|
Face Detection (SP)
|
100% |
7024
83.5 IPS |
|
|
Face Detection (HP)
|
100% |
9043
107.5 IPS |
|
|
Face Detection (Q)
|
100% |
5509
65.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11897
91.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12893
99.3 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28121
36.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33905
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
33327
43.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5955
219.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6398
236.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4976
183.7 IPS |
|
|
Text Classification (SP)
|
100% |
440
587.9 IPS |
|
|
Text Classification (HP)
|
100% |
439
585.7 IPS |
|
|
Text Classification (Q)
|
93% |
346
464.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1166
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1240
21.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1242
21.5 IPS |
