iPhone 15 Pro
Geekbench AI Score
4000
Single Precision Score
24826
Half Precision Score
33710
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 01:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1713
318.5 IPS |
|
|
Image Classification (HP)
|
100% |
10732
2.00 KIPS |
|
|
Image Classification (Q)
|
97% |
15375
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1635
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15827
256.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
20849
338.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8222
9.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
108016
126.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
203766
238.8 IPS |
|
|
Object Detection (SP)
|
100% |
1803
143.1 IPS |
|
|
Object Detection (HP)
|
100% |
13974
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
18907
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3219
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
34393
408.7 IPS |
|
|
Face Detection (Q)
|
100% |
50286
597.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7045
54.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78668
606.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
128052
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
21477
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
202670
260.5 IPS |
|
|
Style Transfer (Q)
|
96% |
251682
324.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5034
185.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34086
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59579
2.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3174
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
3081
4.11 KIPS |
|
|
Text Classification (Q)
|
93% |
2232
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3247
55.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6024
103.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7121
123.1 IPS |
