iPhone 15 Pro
Geekbench AI Score
3968
Single Precision Score
24535
Half Precision Score
32707
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Mer2460 |
| Upload Date | January 25 2025 06:47 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1709
317.7 IPS |
|
|
Image Classification (HP)
|
100% |
11700
2.18 KIPS |
|
|
Image Classification (Q)
|
97% |
14749
2.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1619
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15806
256.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
20920
339.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8008
9.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
106096
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
203695
238.7 IPS |
|
|
Object Detection (SP)
|
100% |
1809
143.5 IPS |
|
|
Object Detection (HP)
|
100% |
13897
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18689
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
3225
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
34303
407.6 IPS |
|
|
Face Detection (Q)
|
100% |
50968
605.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7069
54.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78482
604.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
129914
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
21298
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
203300
261.3 IPS |
|
|
Style Transfer (Q)
|
96% |
249297
321.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4952
182.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34137
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56465
2.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3208
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2491
3.33 KIPS |
|
|
Text Classification (Q)
|
93% |
1749
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3132
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6231
107.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7317
126.5 IPS |
