iPhone 15 Pro
Geekbench AI Score
4312
Single Precision Score
4865
Half Precision Score
4777
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 22 2025 07:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
838
155.9 IPS |
|
|
Image Classification (HP)
|
100% |
856
159.3 IPS |
|
|
Image Classification (Q)
|
96% |
1265
236.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3705
60.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4104
66.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3832
62.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13461
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
14264
16.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14151
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2061
163.5 IPS |
|
|
Object Detection (HP)
|
100% |
1848
146.6 IPS |
|
|
Object Detection (Q)
|
92% |
1544
123.2 IPS |
|
|
Face Detection (SP)
|
100% |
5084
60.4 IPS |
|
|
Face Detection (HP)
|
100% |
6166
73.3 IPS |
|
|
Face Detection (Q)
|
100% |
4952
58.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10915
84.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11989
92.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
11277
88.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26941
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
31055
39.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30665
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4564
168.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4275
157.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4665
172.2 IPS |
|
|
Text Classification (SP)
|
100% |
3232
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
5881
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5617
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1172
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1392
24.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1304
22.5 IPS |
