iPhone 15 Pro
Geekbench AI Score
3859
Single Precision Score
25357
Half Precision Score
37084
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 07:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1669
310.4 IPS |
|
|
Image Classification (HP)
|
100% |
10874
2.02 KIPS |
|
|
Image Classification (Q)
|
97% |
16098
3.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1585
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16500
267.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21135
342.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7803
9.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
103394
120.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
205137
240.4 IPS |
|
|
Object Detection (SP)
|
100% |
1752
139.0 IPS |
|
|
Object Detection (HP)
|
100% |
13932
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
20434
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
3115
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
33959
403.5 IPS |
|
|
Face Detection (Q)
|
100% |
53132
631.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6844
52.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
78285
603.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
132431
1.04 KIPS |
|
|
Style Transfer (SP)
|
100% |
19795
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
206484
265.4 IPS |
|
|
Style Transfer (Q)
|
96% |
255060
329.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4687
173.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33650
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
63052
2.33 KIPS |
|
|
Text Classification (SP)
|
100% |
3248
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
3528
4.71 KIPS |
|
|
Text Classification (Q)
|
93% |
3686
4.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3155
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6525
112.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8270
142.9 IPS |
