iPhone 15 Pro
Geekbench AI Score
4995
Single Precision Score
5924
Half Precision Score
5244
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 04:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2218
412.5 IPS |
|
|
Image Classification (HP)
|
100% |
2321
431.6 IPS |
|
|
Image Classification (Q)
|
97% |
2080
388.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2887
46.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3768
61.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3747
60.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13145
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
13932
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13101
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
2479
196.7 IPS |
|
|
Object Detection (HP)
|
100% |
2781
220.6 IPS |
|
|
Object Detection (Q)
|
91% |
2328
186.0 IPS |
|
|
Face Detection (SP)
|
100% |
6462
76.8 IPS |
|
|
Face Detection (HP)
|
100% |
8673
103.0 IPS |
|
|
Face Detection (Q)
|
100% |
6054
71.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10945
84.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11753
90.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
10475
81.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26895
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32012
41.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29603
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5996
221.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6255
231.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4922
181.7 IPS |
|
|
Text Classification (SP)
|
100% |
3193
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5529
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5506
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1273
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1394
24.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1302
22.5 IPS |
