iPhone 15 Pro
Geekbench AI Score
1807
Single Precision Score
3063
Half Precision Score
2406
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 12 2025 04:58 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
750
139.5 IPS |
|
|
Image Classification (HP)
|
100% |
1243
231.2 IPS |
|
|
Image Classification (Q)
|
96% |
834
155.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
779
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1123
18.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1289
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3634
4.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
7551
8.81 IPS |
|
|
Pose Estimation (Q)
|
95% |
6398
7.50 IPS |
|
|
Object Detection (SP)
|
100% |
728
57.7 IPS |
|
|
Object Detection (HP)
|
97% |
1433
114.1 IPS |
|
|
Object Detection (Q)
|
94% |
1034
82.4 IPS |
|
|
Face Detection (SP)
|
100% |
1689
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
2893
34.4 IPS |
|
|
Face Detection (Q)
|
100% |
1668
19.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2976
22.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
5529
42.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
3949
30.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9344
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14889
19.1 IPS |
|
|
Style Transfer (Q)
|
96% |
12173
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2308
85.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2667
98.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1880
69.4 IPS |
|
|
Text Classification (SP)
|
100% |
1409
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2498
3.33 KIPS |
|
|
Text Classification (Q)
|
93% |
2256
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1575
27.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3036
52.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2689
46.5 IPS |
