iPhone 15 Pro
Geekbench AI Score
3825
Single Precision Score
6697
Half Precision Score
5470
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 09:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1633
303.7 IPS |
|
|
Image Classification (HP)
|
100% |
2929
544.7 IPS |
|
|
Image Classification (Q)
|
96% |
2009
375.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2338
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2993
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7430
8.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
15324
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13629
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1727
137.0 IPS |
|
|
Object Detection (HP)
|
97% |
3282
261.3 IPS |
|
|
Object Detection (Q)
|
94% |
2285
182.1 IPS |
|
|
Face Detection (SP)
|
100% |
3171
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6548
77.8 IPS |
|
|
Face Detection (Q)
|
100% |
3736
44.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6840
52.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13197
102.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8971
70.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20178
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
31243
40.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26553
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4616
170.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5884
217.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4315
159.3 IPS |
|
|
Text Classification (SP)
|
100% |
3170
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
5494
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5469
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3109
53.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6042
104.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6099
105.4 IPS |
