iPhone 15 Pro
Geekbench AI Score
791
Single Precision Score
1230
Half Precision Score
997
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 24 2024 09:40 AM |
| Views | 1 |
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% |
1722
320.3 IPS |
|
|
Image Classification (HP)
|
100% |
2933
545.4 IPS |
|
|
Image Classification (Q)
|
96% |
2039
380.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1634
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2561
41.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3124
50.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8186
9.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
16414
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14377
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1792
142.2 IPS |
|
|
Object Detection (HP)
|
97% |
3377
268.8 IPS |
|
|
Object Detection (Q)
|
94% |
2389
190.4 IPS |
|
|
Face Detection (SP)
|
100% |
3202
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
6844
81.3 IPS |
|
|
Face Detection (Q)
|
100% |
3899
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6949
53.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13399
103.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9256
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21533
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33544
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
28033
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4868
179.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6202
229.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4414
163.0 IPS |
|
|
Text Classification (SP)
|
0
|
||
|
Text Classification (HP)
|
0
|
||
|
Text Classification (Q)
|
0
|
||
|
Machine Translation (SP)
|
0
|
||
|
Machine Translation (HP)
|
0
|
||
|
Machine Translation (Q)
|
0
|
