iPhone 15 Pro
Geekbench AI Score
4029
Single Precision Score
23945
Half Precision Score
33707
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 03:48 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1709
317.8 IPS |
|
|
Image Classification (HP)
|
100% |
10558
1.96 KIPS |
|
|
Image Classification (Q)
|
97% |
15517
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1616
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16532
268.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
21634
350.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8319
9.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
106244
124.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
206511
242.0 IPS |
|
|
Object Detection (SP)
|
100% |
1804
143.1 IPS |
|
|
Object Detection (HP)
|
100% |
14060
1.12 KIPS |
|
|
Object Detection (Q)
|
91% |
19577
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
3228
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
34047
404.5 IPS |
|
|
Face Detection (Q)
|
100% |
51442
611.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7163
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
78000
600.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
127986
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
22070
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
205391
264.0 IPS |
|
|
Style Transfer (Q)
|
96% |
254578
328.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5085
187.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34051
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56732
2.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3249
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
1962
2.62 KIPS |
|
|
Text Classification (Q)
|
93% |
1939
2.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3226
55.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6523
112.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7566
130.7 IPS |
